Jobs Data Analyst

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

We are currently looking for a Data Analyst for Spinlab.

Location: Remote
Job Type: Full-Time
 

About our client:
Spinlab: We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionablerecommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.

 

Responsibilities:

• Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions.
• Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore
• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why
• Collaborate with game designers, product managers, and developers to shape hypotheses and validate them through experimentation.
• Support development and testing of predictive models (e.g., player LTV, churn, bonus optimization).
• Communicate complex insights in a simple, compelling way to both technical and non-technical audiences.
• Help define metrics frameworks for new products or features, expanding high-level requirements with your analytical thinking and product insights.
• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions.

Requirements:

• 3+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry.
• Strong analytical mindset and ability to find the story in the data: uncovering trends and explaining them in clear business terms.
• Strong experience in SQL (BigQuery, PostgreSQL, or similar), and comfort working with large datasets.
• Solid knowledge of data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
• Practical experience with Python for data analysis and modeling.
• Familiarity with statistical testing, experimentation, and predictive modeling techniques.
• University degree in mathematics / computer science / technology / engineering
• English B2+

Will be a plus:

• Knowledge of the iGaming industry or understanding of slot game mechanics
• Ability to look at games from players’ point of view.
• Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact.

Benefits:

• Work on meaningful data products and shape them with your vision.
• 25 vacation days + 15 sick days + 1 birthday leave.
• Budget for English classes.
• Budget for health insurance.
• Annual education & development budget.
• Flexible, remote-friendly culture with a small, dedicated team.

What’s next?

If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.

We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

About the role

We are a fast-growing Payment Service Provider (PSP) working in the high-risk fintech segment.

Right now, we are building a new unified payment platform, consolidating several existing systems into one scalable solution.

We are looking for a Business Analyst who will play a key role at the intersection of business, product, and engineering — translating complex payment processes into clear and actionable specifications.

 What you will do

🔹 Requirements & Documentation

• Gather business requirements from stakeholders (product, risk, compliance, merchants)
• Write clear specifications, user stories, and acceptance criteria
• Model business processes (BPMN 2.0, AS-IS / TO-BE)
• Maintain documentation (Confluence / Notion)

🔹 Payment Processes

• Describe and optimize payment flows:
  • authorization
  • settlement
  • refunds
  • chargebacks
• Analyze transaction routing logic (smart routing, waterfall)
• Support integrations with PSPs and acquirers (REST API)
• Participate in platform consolidation and migration

🔹 Collaboration

• Work closely with Product, Engineering, and QA
• Participate in Agile ceremonies (grooming, planning, demos)
• Align with compliance and risk teams (PCI DSS, AML/KYC)

• Prepare materials for internal teams and merchants

   

 Requirements

🔹 Must-have

• 3+ years as Business Analyst / Systems Analyst
• Experience in fintech / payments / banking
• Strong understanding of payment lifecycle
  (authorization → capture → settlement → reconciliation)
• Experience working with REST APIs (Postman / Swagger)
• BPMN / UML knowledge
• Experience with Agile / Scrum
• Strong English communication skills

🔹 Nice to have

• Experience with PSP / acquiring / PayFac
• Knowledge of ISO 8583 / ISO 20022
• Experience with chargebacks / disputes / rolling reserves

• Experience in platform migration projects

   

What we offer

• Work on a real fintech product in the high-risk domain
• Participation in building a scalable payment platform
• Close collaboration with product and tech teams
• Flexible work format (remote / hybrid)
• Opportunity to influence product decisions
• Professional growth in fintech

About the role

We are looking for a Senior Data Engineer / Data Analyst to become a key link between data and product decisions. You will work with transactional data from a payment platform, build reliable analytics infrastructure, and turn raw data into business insights for C-level and the product team. This role combines deep technical data work (pipelines, DWH, modeling) with product analytics (approval rate,
fraud patterns, A/B tests). The ideal candidate is equally comfortable writing optimized SQL queries and explaining complex patterns to a non-technical audience.

This role combines:

• data engineering (DWH, pipelines, modeling)

• product analytics (metrics, A/B tests, fraud patterns)

   

What you will do

🔹 Data Engineering

• Build and maintain DWH for transactional data
• Develop ETL/ELT pipelines (dbt / Airflow / scripts)
• Design data models (fact/dimension tables)
• Ensure data quality, monitoring, and performance optimization

🔹 Product & Business Analytics

• Analyze key metrics:
  • Approval / Decline Rate
  • Chargebacks / Refunds
  • Fraud patterns
  • PSP performance
• Build dashboards (Metabase / Tableau / etc.)
• Run A/B tests and analyze product changes
• Deliver insights to product and leadership

🔹 Routing & Fraud Analytics

• Analyze routing efficiency
• Identify fraud patterns (velocity, geo, BIN)
• Propose improvements for routing logic

🔹 Collaboration

• Translate business needs into data solutions
• Communicate insights clearly to non-technical teams

• Proactively identify anomalies and opportunities

   

Requirements

🔹 Must-have

• Strong SQL (complex queries, optimization)
• Experience with PostgreSQL / ClickHouse / BigQuery
• Python for analytics (pandas, numpy)
• Experience with dbt / Airflow (or similar tools)
• Experience with BI tools (Metabase, Tableau, etc.)
• Understanding of A/B testing and statistics
• 3+ years in Data Analyst / Data Engineer role
• Experience with transactional / financial data

🔹 Nice to have

• Experience in fintech / PSP / acquiring
• Fraud analytics experience
• Kafka / streaming
• Understanding of PCI DSS / GDPR

What we offer

• Work with real transactional data from a payment platform — challenging and rewarding
• Direct influence on product decisions through data
• Modern stack: ClickHouse / BigQuery, dbt, Python, Airflow
• C-level access — your insights go directly to leadership
• Flexible work format: Remote / Hybrid
• Competitive compensation + salary review every 12 months
• Budget for education and conferences (Data Engineering, Payments)
• A team with deep fintech and high-risk vertical experience

Office location: Stockholm, Sweden (Office/Remote options available)

Join Söderberg & Partners Heartpace AB, a Swedish product company, and become a key link between business needs and technical execution. We’re looking for a Technical Business Analyst with a solid software or systems background to help shape scalable digital solutions for the European market.

What we offer:

• Tech-driven environment: collaborate with experienced engineers and product teams on complex platforms.
• Modern stack exposure: work alongside teams using Laravel, React, AWS, Docker, GraphQL, and more.
• Professional development: we support certifications, tech/BA courses, and access to Udemy.

• Work-Life Balance: no overtime culture, and generous vacation policies.

   

What you'll do:

• Translate business and functional requirements into clear, actionable technical specifications.
• Work closely with developers and architects to analyze and model data flows, APIs, and system integrations.
• Write structured documentation: user stories, technical requirements, sequence diagrams, and data mappings.
• Participate in sprint planning, QA handovers, and product releases to ensure smooth execution.
• Support solution design and decision-making with deep understanding of platform architecture.

What we're looking for:

• Experience: 6+ years in a Business Analyst or Systems Analyst role, preferably in a SaaS or product company.
• Technical background: prior experience as a developer, QA, systems analyst, or engineer.
• Knowledge: understanding of APIs, databases, client-server architecture, HTTP, JSON, REST/GraphQL.
• Tools: proficiency in Jira, Notion, Swagger/Postman, and diagramming tools like Miro or Lucidchart.
• Process: experience working in Agile teams with SDLC knowledge.
• English Proficiency: Upper-Intermediate+ level required for team communication and documentation.
• Language Bonus:
  • Swedish: Swedish proficiency is a strong bonus - especially if you're a native speaker or at a good conversational/professional level.
  • Ukrainian/Russian: Knowledge of Ukrainian/Russian is a plus, as it may support smoother communication with part of the team.

Nice to have:

• Exposure to Laravel, React.js, or similar tech stacks.
• Experience writing technical documentation for engineers and QA teams.
• Understanding of CI/CD pipelines, cloud services (AWS), or containerized environments.

Why join us?

At Söderberg & Partners Heartpace AB, we care about quality just as much as innovation. You’ll join a professional team that values your input, offers autonomy in your work, and supports your growth. Make a real impact while enjoying a collaborative, flexible, and balanced work environment.

Ready to Join?

Apply now and take the next step in your career! Let’s shape the future of tech together.

We are looking for a highly skilled Data / Analytics Engineer to take ownership of our analytics layer across a modern DTC and subscription-based business.

This role sits at the intersection of data engineering, analytics, and business decision-making. You will be responsible for ensuring data accuracy, defining key metrics, and translating complex datasets into actionable insights used across product, marketing, and leadership.

Key Responsibilities

• Design, build, and maintain scalable data models across multiple sources (Shopify, Stripe, App Store, Amazon, etc.)
• Develop and optimize SQL queries (CTEs, window functions, multi-source joins, deduplication)
• Build and maintain dashboards (Grafana or similar) for real-time and operational monitoring
• Define and standardize key business metrics (LTV, cohorts, churn, ARPU, refill rates)
• Ensure data consistency across systems, including handling returns, fulfillment lag, and edge cases
• Work with ELT pipelines (e.g. Fivetran) and understand data ingestion and transformation flows
• Collaborate with product, marketing, and leadership teams to translate data into decisions
• Support investor/board-level reporting and be able to clearly explain and defend metric definitions

Requirements

• Strong SQL skills (advanced queries, performance optimization)
• Experience with data warehouses (Redshift, Snowflake, BigQuery, or similar)
• Experience building dashboards (Grafana, Tableau, Looker, or similar)
• Familiarity with Shopify, subscription models (Recharge), and eCommerce data structures
• Solid understanding of DTC metrics (LTV, retention, churn, cohort analysis)
• Experience working with ELT tools (Fivetran or similar)
• Strong analytical thinking and ability to work with imperfect data
• Ability to communicate insights clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with subscription businesses or recurring revenue models
• Background in product analytics or growth analytics
• Experience with event tracking tools (Segment or similar)
• Experience with Python or data transformation frameworks (dbt, etc.)

What We’re Looking For

We are not just looking for someone who can build dashboards — we are looking for someone who can own the metric layer.

You should be comfortable answering questions like:

• How should LTV be defined for this business?
• What is the correct way to count a “customer”?
• How do returns and fulfillment delays affect revenue reporting?

This role requires both technical depth and strong business judgment.

Engagement

• Flexible: full-time or part-time
• Remote-friendly

At A-Players, we are looking for a Marketing Data Analyst with experience in performance marketing analytics and web products. In this role, you will work with large-scale advertising data, develop and maintain attribution models, and evaluate the effectiveness of marketing channels to drive revenue growth.
 

We need a professional who is not only technically skilled, but also excels at data analysis, insight generation, and translating complex data into actionable recommendations that impact business decisions.

‍

Responsibilities:

• Marketing Attribution: Build and maintain attribution models, including working with MMP data.
• Channel Performance: Analyze the effectiveness of advertising channels (Facebook Ads, Google Ads, etc.).
• Billing Analytics: Analyze payment data, monetization funnels, and conversion rates across PSPs.
• A/B Testing: Design experiments, perform statistical analysis, and interpret results.
• Automation: Develop and maintain Airflow DAGs, write Python scripts for data analysis and processing.‍

• BigQuery: Write complex SQL queries, optimize performance, and conduct data exploration.

   

What we look for:

• 2+ years of experience as a Marketing Data Analyst / Growth Analyst / Performance Analyst.
• Experience working with attribution data.
• Experience analyzing advertising channels such as Facebook Ads and Google Ads.‍
• SQL (advanced): window functions, CTEs, complex joins, query optimization.‍
• BigQuery: experience working with large-scale datasets, understanding of partitioning and cost optimization.‍
• Python: scripting for data analysis, automation, and data processing.‍
• Marketing Attribution: understanding of attribution models, experience with MMPs (AppsFlyer or Adjust).‍

• A/B Testing: strong statistical thinking and ability to correctly interpret results.

   

Nice to have:

• Airflow: writing and maintaining DAGs.
• dbt: working with data models.
• Billing/PSP data: experience working with systems like Stripe, PayPal, Primer.‍

• MMM (Media Mix Modeling): basic understanding.

   

We offer:

• Exciting challenges and growth prospects together with an international company.
• High decision-making speed and diverse projects.
• Flexibility in approaches, no processes for the sake of processes.
• Effective and friendly communication at any level.
• Highly competitive compensation package that recognizes your expertise and experience, Performance Review practice to exchange feedback and discuss terms of cooperation.
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely.
• Respect for work-life balance (holidays, sick days - of course).
• Bright corporate events and gifts for employees.
• Additional medical insurance.
• Compensation for specialized training and conference attendance.
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round.

Real People. Real Impact. One Crazy-Good Team.
Let’s Start With a Hello

We’re looking for a BI Analyst / BI Developer who will take ownership of our BI direction — from dashboards to data quality. If you’re passionate about building reliable reporting systems and turning data into business decisions — this role is for you.

Who We Are

We’re an international iGaming company scaling across multiple markets with a strong focus on data-driven decision-making. Our BI function plays a ключевая роль in product growth, marketing efficiency, and operational clarity.

Our culture?
Data-first mindset.
Focus on real business impact.
Clean architecture and scalability.
Ownership, clarity, and collaboration.

What You’ll Be Doing (BI Analyst / BI Developer)

• Owning BI reporting direction: dashboards, data marts, and data quality.
• Developing, maintaining, and designing BI reports (≈70% of the role).
• Building and optimizing scripts and data layers (≈30%).
• Ensuring data accuracy, consistency, and reliability.
• Maintaining daily availability and freshness of key reports.
• Communicating with business teams to translate needs into reports.
• Developing and improving ETL processes.
• Optimizing dashboard performance and query efficiency.
• Supporting and scaling BI infrastructure.

What Makes You a Great Fit

• 2+ years of experience in BI / Data Analytics.
• Strong SQL skills (complex queries, aggregations, window functions).
• Data-driven mindset — you understand metrics and how they impact decisions.
• Ability to clearly explain logic, calculations, and insights to business stakeholders.
• High attention to detail and strong data validation skills.
• Focus on business outcomes, not just technical implementation.

Bonus Points

• Experience with Python for automation and data processing.
• Experience with Tableau (or similar BI tools).
• Background in query optimization and dashboard performance tuning.
• Experience in iGaming.
• Background in Big4 / audit.

What’s In It for You

• Fully remote work.
• Flexible start of the day (between 8:00–12:00).
• Opportunity to grow into a BI Lead role.
• A team that values clean data, clear thinking, and real impact.

Let’s Wrap It Up

If you want to build BI systems that actually drive decisions — not just reports — we’d love to hear from you. Let’s turn data into growth.

About the Role

We are seeking a skilled Power System Modelling Engineer / Software Developer to join our team and contribute to the full lifecycle of power system modelling, simulation, and analysis projects. You will focus primarily on steady-state and dynamic power system simulations, network analysis, grid integration studies, and power flow calculations, while also engaging in data handling, scripting, automation, and toolchain development.

This role combines deep power systems expertise, analytical thinking, and software development skills to deliver high-quality modelling results and technical insights for our clients across the European energy sector.

Key Responsibilities

• Lead and participate in the design, implementation, testing, and analysis of power system models using commercial tools such as PSS/E (Siemens) or DigSilent PowerFactory, and open-source tools such as PyPSA, PyPowSyBl, or pandapower.
• Perform load flow, contingency analysis, short-circuit calculations, dynamic simulations, and grid stability assessments to support transmission and distribution system planning.
• Develop and maintain automated workflows, data pipelines, and scripting tools (Python) to support power system modelling and simulation processes.
• Conduct grid integration studies for renewable energy sources, including hosting capacity analysis, voltage regulation, and protection coordination.
• Collaborate with client teams (TSOs, DSOs) to ensure accuracy and consistency in network data collection, validation, and model maintenance.
• Communicate modelling results, methodologies, and assumptions clearly to both technical and non-technical stakeholders.
• Contribute to technical documentation, reports, and presentations.

Required Qualifications & Experience

• 2–7 years of relevant professional experience in power system modelling and simulation.
• 2+ years of hands-on experience with at least one commercial power system simulation tool (PSS/E, PowerFactory, ETAP, PowerWorld) or open-source equivalent (PyPSA, PyPowSyBl, pandapower).
• Proficiency in Python for scripting, automation, and power system analysis workflows.
• Solid understanding of power system fundamentals: load flow, fault analysis, dynamic stability, voltage regulation, and protection systems.
• Strong skills in data handling, processing, and visualization of network and simulation data.
• English language proficiency at B2 level or higher.
• MSc degree in Electrical Engineering, Power Engineering, Power Systems, or related field.

Desirable Skills & Assets

• Experience with PSS/E automation (Python/IPLAN) or PowerFactory DPL/Python scripting.
• Knowledge of CIM/CGMES data exchange standards and network model interoperability.
• Familiarity with European grid codes, ENTSO-E methodologies, and TSO/DSO operational frameworks.
• Experience with market modelling tools such as PLEXOS or Antares is a plus.
• Knowledge of optimization theory and mathematical programming (LP, MILP).
• Proficiency in R for statistical analysis or simulation post-processing.
• Familiarity with Git or other version control systems.
• Ability to translate customer requirements into actionable modelling tasks and deliverables.
• Experience in applying AI tools to support programming and analytical work.
• Strong communication and teamwork skills, with the ability to meet deadlines.

Description

Our client is a luxury skincare and beauty brand. The brand is based in San Francisco and sells luxury skincare products worldwide.

Client’s main IT “product” is its e-commerce website, which functions as a digital platform to sell products, educate customers, and personalize experiences.

• Runs on Salesforce Commerce Cloud (formerly Demandware) — an enterprise e-commerce platform that supports online shopping, order processing, customer accounts, and product catalogs.
• Hosted on cloud infrastructure (e.g., AWS, Cloudflare) for reliable performance and security
  Uses HTTPS/SSL encryption to secure data transfers.
• Integrated marketing and analytics technologies such as Klaviyo (email & SMS automation), Google Tag Manager, and personalization tools to track behavior, optimize campaigns, and increase conversions

It’s both a shopping platform and a digital touchpoint for customers worldwide.

Requirements

We are seeking a Data Analyst with strong experience in analyzing complex datasets, building insightful dashboards, and translating data into actionable business recommendations.

In this role, you will collaborate closely with product teams and other analysts to create compelling visualizations and uncover patterns that drive data-informed decision-making. You will play a critical role in defining metrics and providing the insights needed to optimize our products and services.

Job responsibilities

Dashboarding & Visualization: Design and build dashboards to support data visualization and reporting requirements.
• KPI Definition: Collaborate with product teams to define key metrics and KPIs that drive business decisions.
• Deep-Dive Analysis: Perform in-depth data analysis to identify trends, patterns, and opportunities for optimization.
• Data Storytelling: Provide actionable insights and recommendations to stakeholders through clear and compelling data storytelling.
• Data Modeling: Contribute to building data modeling based on various data sources.
• Documentation: Create and maintain comprehensive documentation for data models, workflows, and analysis methodologies.

Skillset To succeed in this role, the following qualifications are required:
• Experience & Education:
◦ Minimum of 4 years of experience in data analytics.
◦ Demonstrated experience with SQL and aggregating unstructured data collected from multiple sources.

Technical Tools (Must Have):
◦ Hands-on experience with data visualization tools such as PowerBI, Tableau, ADX, or similar.

Technical Tools (Nice to Have / Plus):
◦ Experience with Git.
◦ Experience with ETL processes and DBT (or equivalent tools).
◦ Experience with Product Analytics tools (e.g., Google Analytics, Amplitude).
◦ Experience with R or Python.
◦ Experience designing and analyzing A/B and multivariate tests.

Soft Skills:
◦ Excellent problem-solving skills.
◦ Strong communication skills to effectively convey insights to stakeholders

Are you passionate about transforming complex datasets into actionable insights that shape strategic decisions? This Senior Data Analyst role offers the chance to work on cutting-edge pricing optimization projects for global retail brands, leveraging advanced analytics to drive measurable business impact.

We at Sigma Software are looking for a Senior Data Analyst to join our Data Analytics and Pricing Optimization team. The role is senior-level, full-time, and based in Ukraine, Europe, with flexibility to collaborate with international teams.

Why join us? You’ll work alongside Data Scientists on innovative pricing experiments, contribute to projects that influence market positioning worldwide, and be part of a company that values innovation, global reach, and professional growth.
CUSTOMER
Our customer is a leading retail technology company specializing in pricing optimization software. They partner with global retailers to enhance profitability and competitiveness through data-driven strategies and advanced pricing models. Known for their innovative approach, they deliver solutions that combine business intelligence with cutting-edge algorithms to maximize value for clients.
PROJECT
The project involves implementing and optimizing a sophisticated pricing platform for large-scale retail operations. You’ll work on aligning platform capabilities with client needs, designing pricing experiments, and ensuring adoption through training and support.

Key Technologies: SQL, Python/R, Power BI, Tableau, Looker, Revionics, DemandTec

Job Description

• Analyze business and pricing processes to identify optimization opportunities
• Conduct discovery sessions to understand client needs and processes
• Recommend improvements based on best practices
• Align platform capabilities with client requirements
• Design and validate pricing experiments with Data Scientists
• Configure pricing platform for optimal client setup
• Deliver user training and ongoing support
• Monitor pricing performance and share insights
• Drive user adoption and recommend strategies to maximize platform value

Qualifications

• 5+ years in pricing analytics, data analysis, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker)
• Advanced SQL skills and proficiency in Python or R
• Understanding of data structures, modeling, and warehousing
• Experience in data cleaning and quality assurance
• Proven delivery of impactful analytics solutions
• Knowledge of market analysis, customer segmentation, and psychological pricing
• Excellent communication and stakeholder management skills
• Upper-Intermediate English or higher

WILL BE A PLUS

• Pricing strategy experience (cost-plus, value-based, competitive models)
• Dynamic pricing and price elasticity analysis
• AI/ML applications in pricing
• Familiarity with pricing intelligence tools
• Experience with retail pricing software
• Knowledge of pricing-related legal restrictions

We are looking for a Data Analyst to join a global product team working on a large-scale mobile marketing platform.
This role focuses on performance analysis, experimentation, and data-driven decision making in a high-load AdTech environment.

You will help identify where the system is losing value, design meaningful metrics, and provide insights that directly impact product and data science decisions.

Responsibilities

Analysis & Insights

• Analyze campaign performance and system behavior
• Identify inefficiencies in pricing, pacing, and traffic selection
• Break down complex performance data into clear, actionable insights

Experimentation

• Define and calculate key metrics (including intermediate metrics)
• Analyze A/B tests and interpret results
• Ensure fair experiment conditions (budget, traffic, etc.)

Data Exploration

• Investigate data quality issues and anomalies
• Build datasets to support modeling and experimentation
• Explore new signals, features, and opportunities

Collaboration

• Work closely with Data Science, ML Engineers, and Product teams
• Translate analytical findings into business recommendations

Current Focus Areas

• Pricing & Budget Scalability — scaling budgets while maintaining performance
• User Selection Optimization — improving conversion rates (CVR) through targeting
• Exploration Efficiency — reducing wasted budget during exploration
• Incrementality Measurement — measuring true lift vs attributed performance
• Fraud Detection & Filtering — improving traffic quality

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or similar
• ~2 years of experience in a data-related role
• Strong knowledge of statistics, A/B testing, and data analysis
• Experience working with large datasets and performance metrics
• Ability to explain complex data in a clear and structured way
• Strong problem-solving skills and proactive mindset

Nice to Have

• Experience in AdTech / marketing / auctions
• Understanding of incrementality and attribution models
• Internship or experience in high-scale data environments

What Success Looks Like

• You clearly identify where the system is underperforming
• Your analysis drives experiments and product decisions
• You build reliable metrics, dashboards, and insights that improve system performance

About the Role

This is a great opportunity for a Data Analyst who wants to work on real-time, high-scale systems, collaborate with Data Science teams, and directly influence product performance through data.

Description

Our client is a luxury skincare and beauty brand. The brand is based in San Francisco and sells luxury skincare products worldwide.

Client’s main IT “product” is its e-commerce website, which functions as a digital platform to sell products, educate customers, and personalize experiences.

• Runs on Salesforce Commerce Cloud (formerly Demandware) — an enterprise e-commerce platform that supports online shopping, order processing, customer accounts, and product catalogs.
• Hosted on cloud infrastructure (e.g., AWS, Cloudflare) for reliable performance and security
  Uses HTTPS/SSL encryption to secure data transfers.
• Integrated marketing and analytics technologies such as Klaviyo (email & SMS automation), Google Tag Manager, and personalization tools to track behavior, optimize campaigns, and increase conversions

It’s both a shopping platform and a digital touchpoint for customers worldwide.

Requirements

We are seeking a Data Analyst with strong experience in analyzing complex datasets, building insightful dashboards, and translating data into actionable business recommendations.

In this role, you will collaborate closely with product teams and other analysts to create compelling visualizations and uncover patterns that drive data-informed decision-making. You will play a critical role in defining metrics and providing the insights needed to optimize our products and services.

Job responsibilities

Dashboarding & Visualization: Design and build dashboards to support data visualization and reporting requirements.
• KPI Definition: Collaborate with product teams to define key metrics and KPIs that drive business decisions.
• Deep-Dive Analysis: Perform in-depth data analysis to identify trends, patterns, and opportunities for optimization.
• Data Storytelling: Provide actionable insights and recommendations to stakeholders through clear and compelling data storytelling.
• Data Modeling: Contribute to building data modeling based on various data sources.
• Documentation: Create and maintain comprehensive documentation for data models, workflows, and analysis methodologies.

Skillset To succeed in this role, the following qualifications are required:
• Experience & Education:
◦ Minimum of 4 years of experience in data analytics.
◦ Demonstrated experience with SQL and aggregating unstructured data collected from multiple sources.

Technical Tools (Must Have):
◦ Hands-on experience with data visualization tools such as PowerBI, Tableau, ADX, or similar.

Technical Tools (Nice to Have / Plus):
◦ Experience with Git.
◦ Experience with ETL processes and DBT (or equivalent tools).
◦ Experience with Product Analytics tools (e.g., Google Analytics, Amplitude).
◦ Experience with R or Python.
◦ Experience designing and analyzing A/B and multivariate tests.

Soft Skills:
◦ Excellent problem-solving skills.
◦ Strong communication skills to effectively convey insights to stakeholders

At DICEUS, we are inviting motivated candidates to join our Business Analyst Internship and begin their professional journey in software delivery and product development.

This internship provides an opportunity to gain hands-on experience working with enterprise-level solutions in the insurance domain, collaborate with cross-functional teams, and learn how Business Analysts contribute to building successful digital products.

During the internship, you will work alongside experienced Business Analysts and development teams, supporting requirement analysis, documentation preparation, and communication with project stakeholders.

What You Will Be Learning

Throughout the internship, you will develop key Business Analysis skills, including:

Requirements Analysis

• Collecting and documenting basic functional requirements
• Structuring and analyzing gathered information
• Identifying missing information and clarifying requirements
• Supporting the preparation of user stories and specifications

Business Analysis Documentation

• Creating user flows, diagrams, and documentation
• Maintaining and updating requirements documentation
• Organizing information in shared project workspaces

Project Collaboration

• Participating in Agile ceremonies: stand-ups, planning sessions, demos
• Preparing meeting materials such as notes, diagrams, and questions
• Supporting demo preparation and testing

Communication Skills

• Participating in client and internal meetings
• Documenting feedback and requirement updates
• Communicating task status and clarifications with the team

What We Expect From You

• Basic understanding of software development processes
• Strong analytical and communication skills
• Interest in Business Analysis and IT product development
• Attention to detail and willingness to learn
• Ability to work in a team and accept feedback
• English level Intermediate or higher

What We Offer

• Hands-on business analysis experience on real IT projects
• Opportunity to work with enterprise-level products
• Mentorship and support from experienced Business Analysts
• Friendly and professional team environment
• Opportunity to continue your career path as a Junior Business Analyst

At DICEUS, we are looking for a motivated Trainee Business Analyst who wants to start a career in Business Analysis and gain hands-on experience in software delivery and product development.

This trainee role is designed for candidates at the beginning of their careers who are eager to learn how digital products are built, how requirements are gathered and structured, and how cross-functional teams collaborate to deliver enterprise software solutions.

You will work closely with experienced Business Analysts, developers, and product teams, gaining practical experience in Agile processes, requirements analysis, and documentation while contributing to real projects in the insurance domain.

What You Will Learn

During the trainee program, you will gradually develop practical Business Analysis skills, including:

Business Analysis Fundamentals

• Writing clear user stories and acceptance criteria
• Breaking down features into logical subtasks
• Creating user flows and basic system diagrams
• Preparing functional specifications for individual features
• Maintaining up-to-date documentation and BA artifacts

Tools & Processes

• Working with Jira and Confluence
• Understanding Agile/Scrum principles
• Learning how the Software Development Life Cycle (SDLC) works in practice
• Supporting the team in managing requirements and documentation

Communication & Collaboration

• Participating in client and internal meetings
• Preparing materials for meetings: notes, questions, diagrams
• Asking clarifying questions to better understand requirements
• Assisting with demo preparation and documentation updates

What We Are Looking For

• Basic understanding of software development processes
• Strong analytical thinking and communication skills
• Interest in business analysis and IT consulting
• Attention to detail and willingness to learn
• Ability to structure information and work with documentation
• English level Intermediate or higher

What We Offer

• Practical business analysis experience on real IT projects
• Mentorship from experienced Business Analysts
• Opportunity to work with enterprise-level products in the insurance industry
• Supportive and professional environment with a strong learning culture
• Clear career growth path within the Business Analysis track

Successful candidates may continue their growth in the company as Junior Business Analysts.

At DICEUS, we are looking for a motivated Junior Business Analyst (Entry Level) to join our team and start building a career in software delivery and product development.

This role is a great opportunity to gain hands-on experience working with enterprise-level solutions in the insurance domain, collaborate with cross-functional teams, and learn Agile practices, requirement analysis, and documentation preparation. You will work closely with experienced Business Analysts and development teams to understand how real digital products are designed and delivered.

What You’ll Be Learning

• Fundamentals of business analysis
• How to collect, document, and analyze business and technical requirements
• Preparing documentation: user stories, specifications, requirements, presentations
• Working with tools such as Jira, Confluence, and Trello
• Participation in project meetings: daily stand-ups, planning, demos
• Understanding and applying SDLC in practice
• Communication with clients and internal stakeholders

What We Expect From You

• Basic understanding of software development processes
• Strong analytical and communication skills
• Interest in business analysis, IT consulting, and working with requirements
• Responsibility, attention to detail, willingness to learn and grow
• English level — at least Intermediate for communication and documentation

What We Offer

• Hands-on business analysis experience on real IT projects
• Opportunity to work with enterprise-level products in the insurance industry
• Supportive and professional environment with a strong learning culture
• Career growth opportunities within the Business Analysis track