Jobs Data Analyst

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,500+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Currently, we are looking for Junior BI to join our team.

Responsibilities:

• Develop and maintain interactive reports and dashboards in Power BI
• Connect to various data sources (SQL, Excel, API, etc.) and process data
• Create DAX expressions for calculations and data analysis
• Develop and implement self-service BI reports (dashboards) to work with and visualize data
• Automate routine tasks and data notifications using Power Automate (e.g., automated report distribution, data alerts)
• Optimize report performance and data modeling
• Collaborate with business users to define reporting requirements.

Required skills:

• Experience working with Power BI (up to 1.5 year of commercial experience)
• Understanding of DAX and basic data modeling
• Good knowledge of SQL (writing queries, joins, filtering) and experience with relational databases (e.g., Azure SQL)
• Hands-on experience with Power Automate: building flows to automate data processes or notifications
• Experience with Power Query (M language) for ETL processes
• Good communication, analytical mindset and ability to work with large datasets
• English level: pre-intermediate +

Nice to Have:

• Experience with Azure Data Factory or other Azure data products. 
• Familiarity with other BI tools (Tableau, Qlik).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the Company

NDA (NICK Digital Agency) is a digital boutique agency working with B2B clients, e-commerce brands, and digital startups in the DACH market. We build demand generation and performance systems — not one-off campaigns. The team is lean, fully remote, and operates without bureaucracy: direct communication, no account managers, results over process.

We're in an active growth stage and looking for an analyst to own the data layer in our delivery.

About the Role

This is not a dashboarding or reporting role.

Your job is to identify where revenue is lost, explain why it happens, and quantify the business impact. You'll work directly with the founder, get full access to clients' revenue stack (CRM, ad accounts, financials), and own the analytical deliverables that drive client decisions.

You will cover three core products:

• Revenue Architecture Diagnostic
• AI Visibility Audit
• AI Revenue Operations Audit

What You'll Do

• Intake and process data from GA4, CRM, ad accounts, and email platforms
• Build attribution views and detect tracking gaps
• Calculate CAC, LTV, payback period, and margin from real client data
• Run funnel drop-off analysis and revenue leak detection
• Run citation testing for AI Visibility audits — testing how clients appear across AI-driven search platforms (40–60 queries × 5 platforms per audit)
• Support process mapping for AI RevOps audits
• Write revenue audit reports (30–45 pages) and process audit reports (25–35 pages)
• Build ROI projection models in Excel / Google Sheets

Key Expectations

• Own 3–4 client audits in parallel at different stages of delivery
• Work autonomously — no step-by-step guidance, no micromanagement
• Identify both revenue leaks and growth upside — not just surface numbers
• Translate findings into clear, decision-ready business insights
• Back up every recommendation with revenue logic and ROI modeling
• Write well — analytical writing quality directly affects client output quality

Requirements

Must Have

• 3+ years in a performance, growth, or analytics role — B2B, SaaS, or digital agency context
• GA4 at an advanced level: event-based tracking, conversion paths, attribution models — building setups from scratch, not just reading them
• One BI tool (Looker Studio, Metabase, Tableau, or PowerBI) — building self-sufficient dashboards independently
• Excel / Google Sheets advanced: pivot tables, financial modeling, lookups, conditional logic
• Basic SQL: SELECT, JOINs, GROUP BY
• Strong analytical writing — ability to turn data into business-visible, human-readable insights
• Structured analytical thinking with a business-outcomes orientation
• English B2+

Nice to Have

• HubSpot or Salesforce admin-level access
• CRM attribution tools: Dreamdata, HockeyStack, or similar
• Mixpanel or Amplitude
• Basic Python for data wrangling
• GA4 → BigQuery → Looker integration
• SaaS metrics fluency: MRR, NRR, GRR, churn cohorts
• DACH market experience
• German B1+ (German-speaking candidates are prioritized)

This Role Is NOT a Fit If You

• Treat analytics as dashboards and figures without interpretation behind them
• Cannot explain clearly why a channel or funnel step is underperforming
• Rely on pre-built data infrastructure and cannot build setups from scratch
• Are not comfortable working with messy, fragmented, multi-source client data
• Cannot back up recommendations with revenue modeling
• Are looking for a permanent salaried position from day one — this engagement starts as freelance/contractor

Work Conditions

• Format: Fully remote, async-first communication
• Timezone: Ukraine or CET
• Engagement type: Freelance / contractor — starting at ~20 hrs/week, scaling to full load based on delivery performance
• No probation period: The first project is the screen. Results delivered → engagement continues and grows.
• Growth path: Permanent employment (Festanstellung) option opens at the 6+ month mark

Selection Process

1. CV review
2. Recruiter screening call
3. HM Case Interview with CEO — you'll receive a real business dataset before the call (GA4 export + CRM data + ad spend across 2–3 channels) and walk through your findings live. The case covers funnel leak detection, tracking gap identification, and revenue modeling. This replaces a traditional test task.
4. Referral check
5. Offer call

Who We're Looking For

You've worked with fragmented, multi-source client data. You build the infrastructure when it doesn't exist. You know how to turn analytical findings into a story a CEO or CMO will act on — and you can model the revenue impact behind every recommendation. If you need a fully built data stack and a detailed brief to get started, this role isn't the right fit.

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment
 

Who We Are:

An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.
 

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

Job Description:

• User Behavior Analysis: Funnel analysis for registration, deposit, betting, and withdrawals.
• Monitoring key product KPIs such as retention, churn, LTV, session length, etc.
• Generate performance reports to identify which features drive user engagement and revenue.
• Hypothesis Support & Validation: Collecting and analyzing data to validate or reject product hypotheses.
• Working closely with UX/UI teams to improve the user experience based on insights.
• Create a presentation with the performance results of the project on a regular basis.

Qualifications:

• Experience of 2+ years of working with a b2c product, as a Product Analyst or Performance Analyst.
• Proven ability to analyze and interpret complex data, identify trends, and provide actionable insights.
• Strong knowledge and experience using Tableau or Power BI.
• Proven experience with SQL.
• Strong communication skills with the ability to collaborate cross-functionally with finance, marketing, and operations teams.

• Familiarity with data visualization best practices and presenting insights to stakeholders.

   

Additional Information

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

We are looking for a Data / BI Analyst in iGaming to own analytics end-to-end: defining data requirements, ensuring data quality, building dashboards, and delivering actionable insights. You will work closely with Data Engineering, Product, CRM, Marketing, Risk, and Payments teams to analyze player behavior, payments, funnels, and product performance, turning data into strategic decisions.

Key Responsibilities:

• Define and document data requirements for events, databases, APIs, and Kafka topics
• Collaborate with Data Engineering on data collection, modeling, and ETL pipelines
• Build interactive, high-performance dashboards and reports in Tableau
• Conduct deep-dive analysis on player behavior, payments, funnels, and product metrics
• Ensure data accuracy, consistency, and reliability across all sources
• Provide ad-hoc insights and analytical support for internal teams

Requirements & Skills:

• 2–3+ years in BI, Data Analytics, or Product Analytics, preferably in iGaming
• Strong SQL skills (joins, windows, aggregates, subqueries, performance tuning)
• Advanced Tableau skills (LOD expressions, parameterized dashboards, filters, actions, publishing)
• Experience with event-based data, ETL/ELT pipelines, and data validation
• Understanding of iGaming metrics: casino & sportsbook events, payments, retention, churn

• Strong problem-solving skills, analytical mindset, and ability to translate business needs into data solutions

   

Nice to Have:

• Knowledge of tools like Airflow, DBT, Airbyte, GitHub/GitLab, Kafka topics
• Familiarity with Python for analytics or automation

Litero AI is an AI startup founded by experienced serial entrepreneur with over 15 years of experience and funded by 5 leading VCs. Our small, dedicated team has a strong history of working together to create tools that help students research, write, and learn more effectively using cutting-edge AI technology.

As we continue to grow, we are looking for a Data Analyst who will help us deeply understand how users interact with the product, identify growth opportunities, and turn data into actionable product decisions.

This is a high-impact role where you'll work directly with the founder, and your analytics will directly influence product development and growth strategy.

Responsibilities:

• Analyze product and business data to identify user behavior patterns, growth opportunities, and product improvement areas
• Design and maintain event tracking and event maps to ensure high-quality product analytics
• Write and optimize advanced SQL queries to analyze large datasets
• Translate complex data into clear insights, dashboards, and recommendations for stakeholders
• Partner with product and marketing to support data-driven decision making

Requirements:

Critical: 

• 3+ years’ experience as Data Analyst or similar analytics role
• Advances SQL skills and experience working with large datasets
• Experience with data analysis and data quality assessment
• Experience working with BigQuery
• Experience designing event tracking / event maps for product analytics
• Confident written and spoken English (B2 level or higher).

Highly preferred: 

• Experience with dbt, including incremental modeling
• Experience with PostHog or similar product analytics tools
• Experience designing and analyzing A/B tests
• Experience with product, marketing, or growth analytics for subscription-based products

Will be a plus:

• Experience working with Stripe data sources
• Experience with Google Cloud
• Knowledge of Python
• Knowledge of R

What We offer:

• 32 paid vacation days per year
• Unlimited paid sick leaves
• Competitive compensation aligned with your experience and impact
• Fully remote work with the flexibility to work from wherever you feel most productive

• A supportive and talented team

   

What We Value

• Strong analytical curiosity and a desire to deeply understand user behavior
• Attention to detail and high standards for data quality
• A proactive mindset - identifying opportunities rather than waiting for requests
• Structured problem-solving and critical thinking
• Strong communication and data storytelling skills
• Ability to work independently while collaborating closely with cross-functional teams

Interview Stages:

Screening Interview with HR Specialist ➡️ Interview with CEO ➡️ Final Technical Interview ➡️Job Offer

Sounds like your next career move? Send us your CV - we’d love to meet you :) 

Requirements:

• Bachelor’s or Master’s degree (Mathematics, Statistics, IT, Analytics)
• 2–3 years of experience as a Risk/Fraud/Data Analyst in anti-fraud products for iGaming or E-commerce (such as Seon, LexisNexis, Covery, Kount, Riskified, Forter, Feedzai, etc.) or experience working with these systems*
• Experience in rule engine configuration — creating, testing, and optimizing rules based on transactional and behavioral data
• Understanding of scoring principles: knowledge of risk assessment models and fraud probability evaluation methods
• Ability to work with large datasets and identify fraud patterns
• Experience in building and visualizing reports
• Strong analytical thinking and attention to detail

• English level: Upper-Intermediate or higher

   

Will be a plus:

• Experience building an anti-fraud system from scratch or optimizing an existing one
• Experience in the crypto sector
• Knowledge of basic KYC principles
   

Key Responsibilities:

• Develop and maintain scoring models for customer/transaction risk assessment
• Configure, test, and optimize risk rules
• Monitor scoring accuracy and rule efficiency metrics
• Create and maintain reporting dashboards and analytics
• Analyze fraud incidents and develop fraud prevention strategies
• Collaborate with cross-functional teams

Workload — Full-time
Duration — Longterm
Location — EU


We are currently looking for a Data Analyst for a key client. The role will focus on transforming raw data into actionable insights, bridging the gap between data and business strategy through analysis, reporting, and stakeholder communication.

Required Skills:

Strong SQL knowledge (non-negotiable core requirement)

High proficiency with spreadsheets (Excel / Google Sheets)

Hands-on experience with data visualization tools (Tableau, Power BI, or Looker)

Experience in data cleaning, transformation, and statistical analysis

Familiarity with databases and data warehouses (e.g., Snowflake, Google BigQuery)

Good understanding of KPIs, business metrics, data modeling basics, and ETL processes

Strong communication skills, business mindset, and sharp attention to detail

Nice to have:

Basic programming skills in Python or R

Experience with A/B testing, experimentation, and cohort analysis

Familiarity with product analytics tools (e.g., Amplitude, Mixpanel)

Knowledge of scripting and automation

Project Details:

Work Location: Full Remote (with potential occasional travel requests to Cologne, Germany)

Working Language: English

Project Duration: Until the end of 2026 (full-time)

Start Date: ASAP

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Growth Data Analyst to join our team!

Responsibilities:

• A/B test post-analysis (including statistical review and deep dive);
• Researching for insights, opportunities and growth points aligned with department KPIs;
• Micro-segmentation, offer personalization;
• Customer behavior and product usage analytics (including product, website and mobile app data);
• KPI monitoring and alerting, finding 'why?';
• Developing and maintaining BI dashboards;
• Adhoc analytical requests (segmentation, data export, metric snapshots);
• Brainstorming and collaboration with different business streams;
• Automate recurring analysis tasks to reduce manual overhead.

Requirements:

• At least 2 years of experience in product/ data analytics.
• Strong proficiency in SQL (including advanced queries and window functions).
• Hands-on experience with BI tools (e.g., Tableau, Power BI).
• Expertise in A/B testing: setup, monitoring experiments, and result analysis.
• Understanding of relational database architecture (ClickHouse, PostgreSQL, BigQuery, etc.).
• In-depth knowledge of statistics and hypothesis testing methods.
• Skills in hypothesis validation and data-driven analysis.

Will be plus

• Experience with Data Science tools for automating A/B test analysis is a plus.
• Experience in iGaming or B2C related industry (preferably whale-driven).

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Senior Data Analyst to join our team!

Requirements:

* Strong experience with data visualization tools (preferably Tableau) — ability to design clear, insightful, and visually appealing dashboards;
* Excellent knowledge of SQL — writing complex queries, optimizing performance, and working with large datasets;
* Understanding of ETL processes and data modeling principles;
* Curiosity and proactive attitude — you love digging into data, finding patterns, and suggesting improvements.

Responsibilities:

* Build and maintain Tableau dashboards for key product and business metrics (user engagement, retention, conversion, revenue, etc.);
* Write and optimize SQL queries to extract, transform, and structure data from multiple sources;
* Conduct deep-dive product analyses to uncover trends, user behaviors, and growth opportunities;
* Continuously improve data quality, performance of dashboards, and analytical infrastructure.

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

We are hiring a Senior Data Analyst for our client.

Our client is a fast-growing consumer health brand in the gut health / probiotics space, operating primarily on the U.S. market. The company sells products through major retail chains and online marketplaces and is scaling its operations across e-commerce, logistics, finance, and internal analytics. Automation and system integrations play a critical role in supporting this growth.

The role is focused on building and maintaining integrations between internal tools and external services, automating operational workflows, and ensuring reliable data flows across systems.

We are looking for a Senior Data Analyst to support data-driven decision-making across our omnichannel business (Amazon, TikTok Shop, Walmart, Target). This role partners with Marketing, eCommerce and Finance to translate data into insights that drive company growth and profitability.

WHAT YOU WILL DO:

Deep-dive marketplace performance and identify key growth drivers.
Build actionable dashboards and analytical models for: Sales, margin, and profitability, Customer cohorts & LTV, SKU & portfolio performance, New product launch tracking
TikTok Shop performance analytics including: Funnel & conversion behavior, Creator / affiliate performance and ROI, Promotion & pricing impact, Repeat purchase / retention trends
Analyze drivers of growth & decline
Support retail performance tracking
Present insights, trends, and recommendations to senior leadership

JOB QUALIFICATIONS:

Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics or related field.
Proven experience as a data analyst.
Proficiency in data analytics software and tools (must have: Excel, Google sheets, SQL, Power BI; nice to have: Tableau, R, Python).
Strong analytical skills with the ability to collect, organize and analyze large amounts of data with accuracy.
Excellent verbal and written communication skills (English: Upper intermediate).

Working format

• Full-time, remote
• Working schedule: 17:00 – 02:00 (Ukrainian time)

What our client offers:

• Competitive compensation aligned with market standards
• A stable full-time role in a growing international business
• Opportunities for professional growth and long-term collaboration
• A flexible, remote-friendly working environment
• Bonuses and benefits system (will be discussed during the interview)

We are looking for a Product/Data Analyst with 2+ years of experience in analytics, preferably (but not necessarily) in gaming or iGaming. The ideal candidate has strong SQL skills, experience with data visualization tools (Power BI or Tableau), and expertise in user behavior and product performance analysis. 

In this role, you will analyze key metrics, conduct A/B tests, and provide insights to optimize product metrics. An important part of this role is building and maintaining dashboards in Power BI, integrating data from MS SQL, MongoDB, Google Analytics, and ensuring data accuracy and consistency across multiple sources.   

Experience 

• 2+ years of experience in data analytics or product analytics 
• Previous experience in a data-driven role within gaming, or a digital product environment is a plus. 

Required skills 

 Strong SQL skills for querying and analyzing large datasets. 

• Hands-on experience with data visualization tools (e.g., Power BI , Tableau). 
• Proven experience in conducting A/B tests, interpreting results, and making recommendations. 
• Knowledge of analytics platforms (Google Analytics, Amplitude, Mixpanel, etc.). 
• Strong analytical and problem-solving skills with the ability to find optimal and creative solutions. 
• Strong background in data modeling and predictive analytics techniques. 
• Good communication and presentation skills. 

  Responsibilities  

• Analyze user behavior, engagement trends, and conversion metrics to identify growth opportunities. 
• Plan, execute, and analyze A/B tests to optimize product performance and enhance user experience. 
• Conduct cohort analysis, retention analysis, and segmentation to optimize product metrics. 
• Provide actionable recommendations to improve product funnel and key product metrics. 
• Develop predictive models to forecast unit economics, analyze and optimize unit economics. 
• Process ad hoc requests from product and marketing teams, providing quick insights to support strategic decisions. 
• Build new and maintain existing dashboards and reports based on Power BI from different data sources, such as MS SQL, MongoDB, Google Analytics; 
• Ensure data accuracy and consistency across multiple sources. 
• Collaborate with developers to improve data and database structures. 

Why Join Us?  

• Work on a cutting-edge Gaming platform tailored for Dota2 enthusiasts. 
• Have a direct impact on product decisions and strategy using data-driven insights. 
• Be part of a cross-functional team blending product management, analytics, and user experience  

 We are looking for a Senior Data Analyst to join our Identity team.

This is not a classic BI/dashboard role. You will work on large-scale identity resolution, AI scoring systems, data quality, and product decision-making.

We process 70+ TB of data and run 20M+ enrichment operations daily across multiple data sources.

You will work directly with Product and Engineering and own analytics for one of the core business domains.
 

🟢 What You’ll Do

• Build frameworks to measure data quality, match rates, AI scoring accuracy, ROI
• Analyze and improve LLM-based scoring systems together with engineers
• Compare external data providers and identify highest-value sources
• Investigate mismatched / conflicting data across systems
• Support internal teams with audience, campaign, and performance analysis
• Detect pipeline or provider quality issues early and drive fixes
• Turn ambiguous business questions into clear decisions
   

🟢 Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team — not consultancy, not BI-only roles.
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. Can read and write complex queries on tens of terabytes without someone pre-modelling the data.
• Python for analysis at a working level — pandas, Jupyter, or equivalent. Can write a small script or helper when an existing tool doesn't cover the case.
• Built measurement or evaluation frameworks from scratch for systems with no baseline — candidate defined what to measure and how, not consumed someone else's KPI.
• Comfort with probabilistic systems — understands noise, ranking, scoring, and that 100% accuracy is not a goal.
• AI-native workflow — uses Claude Code, ChatGPT, Copilot, or similar AI tools daily in their process.
• English: B2+ (Upper-Intermediate) or higher.
   

🟢 Strong Plus

• LLM evaluation / prompt testing
• Identity graph / AdTech / MarTech experience
• Healthcare / pharma data experience
• A/B testing / experimentation
   

🟢 We Offer

• Fully remote
• Flexible hours (CET ±2 overlap)
• High ownership / direct impact
• AI-native environment
• Fast decisions, low bureaucracy

Join Sigma Software and become part of a team where innovation meets impact. We are looking for a Middle Product Analyst to work remotely from Ukraine or Europe, contributing to cutting-edge AdTech solutions.

You will collaborate with skilled professionals in an agile environment, where your expertise will help shape products that drive measurable business results.

Customer

Our customer is an international technology company specializing in high‑load platforms for data processing and analytics. Their flagship product enables businesses to manage vast volumes of data, build predictive models, and extract actionable insights. Operating globally, they serve clients in the marketing and advertising domain, leveraging cutting-edge technologies, microservices architecture, and cloud‑based solutions to deliver scalable and innovative AdTech systems.

Project

The project focuses on enhancing a data-driven AdTech platform that processes large datasets to optimize marketing campaigns and audience targeting. It integrates advanced analytics, machine learning models, and BI frameworks to deliver measurable business impact. The team works in an agile environment, collaborating closely with Data Scientists, Product Managers, and stakeholders to ensure continuous improvement and innovation in product features.

Key Technologies: Python, Databricks, PySpark, Confluence, Matplotlib

Responsibilities

• Collaborate with Data Scientists to design and refine product features powered by analytics
• Analyze complex datasets to identify trends, anomalies, and opportunities for optimization
• Translate business needs into actionable analytical tasks and solutions
• Support feature launches through testing, feedback gathering, and performance monitoring
• Evaluate feature usage and assess their business impact
• Acquire domain expertise in AdTech to propose enhancements and new ideas
• Participate in data science initiatives, contributing to research and innovation efforts

Requirements

• 3–4 years of experience in solving business problems and delivering actionable insights
• Good knowledge of Python and SQL
• Proven track record in delivering analytics projects using EDA and data analysis tools
• Experience with large datasets and ensuring data integrity
• Proficiency in data visualization tools (Tableau, Power BI, or similar)
• Experience working within Agile frameworks and collaborating with cross-functional teams
• Excellent time management and prioritization skills
• Upper-Intermediate level of English or higher

• Bachelor’s or Master’s degree in engineering or MBA

   

WILL BE A PLUS:

• Experience with Databricks and PySpark
• Familiarity with AdTech domain
• Understanding of cloud-based solutions

Department/Project Description

We are a global audience and location intelligence company that helps marketers connect the digital and physical world. We provide data-driven solutions to enhance marketing campaigns by leveraging location and audience data to reveal consumer behavior and enable more precise targeting and measurement. We work on high-end / high-performance / high-throughput systems for in-time analysis of data for autonomous driving and other big data applications e.g. for E-commerce.



Job Responsibilities

We are looking for a Data Analytics Architect to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the Technical Lead for your squad—making critical architectural decisions, defining engineering standards, and driving cross-squad collaboration—without the responsibilities of people management.

You will be the technical north star for the team, approaching extremely complex data problems with a rigorous software engineering mindset. You will design, build, and oversee production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data.


Job Description

7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.
 

Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data.
 

Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting. You write highly modular, object-oriented code. You have deep, practical experience with Test-Driven Development (TDD), mocking, exception handling, and performance profiling, functional programming.
 

Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg). You deeply understand query execution plans, partitioning, clustering, and cloud cost governance.
 

Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput.
 

Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.
 

AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform).
 

Leadership Skills: Superb organizational and communication skills. You can distill complex architectural trade-offs for non-technical stakeholders and drive technical consensus among your engineering peers.

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets. We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.
Trusted by 200+ companies, managing $150M+ in ad spend.

Scale faster. Grow smarter.

We’re looking for a Senior Data Analyst who transforms data into growth opportunities and drives high-impact business decisions.

Key Responsibilities

• Build and optimize full user funnels: landing pages, onboarding, activation flows, paywalls, CRM, and retention loops
• Analyze user behavior, identify bottlenecks, and run A/B tests to improve conversion rates
• Develop positioning and benefit-driven messaging for new features and updates
• Ensure messaging consistency across ads, landing pages, product screens, and CRM
• Lead GTM strategies for feature releases and product rollouts
• Prepare detailed briefs and collaborate closely with product, marketing, design, analytics, and creative teams
• Conduct user research, interviews, surveys, and JTBD analysis
• Track market and competitor trends in web & mobile apps, AI, and EdTech
• Own lifecycle flows: onboarding, activation, reactivation, upsell, churn reduction
• Monitor key funnel metrics and prepare performance reports
• Produce briefs for creative assets: landing pages, paywalls, product videos, ad creatives
• Translate complex product features into simple, compelling visuals and copy

Requirements

• 2+ years of experience as a Data Analyst, Data Engineer, or in a similar role in web marketing or product analytics;
• Proficiency in SQL and experience working with large datasets;
• A deep understanding of key marketing metrics (CAC, LTV, ROAS, payback period);
• Experience with cohort analysis, LTV modeling, and revenue forecasting;
• Experience using Tableau/PowerBI/Metabase/etc. to create dashboards and visualize data;

Nice to have

• Knowledge of marketing analytics and attribution
• Experience with subscription-based business models
• Development of predictive models for evaluating marketing investments
• Ability to take ownership and deliver end-to-end solutions

What We Offer

• Remote work
• Competitive compensation
• Flexible working hours (start between 9:00–11:00 CET)
• All necessary equipment
• Paid vacation and sick leave
• Educational support: reimbursement for certifications, courses, and training
• Company events and internal knowledge-sharing activities
• Transparent communication and an open feedback culture

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