Jobs Data Analyst

We are looking for a talented 2D Animator / Spine Animator to join our team and help create engaging visual experiences for instant games. This is a hybrid, full-cycle role. You will create game-ready 2D illustrations and assets from scratch in Adobe Photoshop, prepare them for rigging, build animation rigs, and animate characters, objects, environments, and UI elements in Spine 2D

In this role, you will bring characters, environments, objects, and user interfaces to life through high-quality animations. You will work closely with artists, UI designers, game designers, and developers to create polished, dynamic, and visually appealing gameplay experiences.

Responsibilities
- Create and animate 2D characters, objects, environments, and UI elements using Spine 2D.
- Build and maintain animation rigs for characters and interactive game assets.
- Polish animations by refining timing, anticipation, smoothness, readability, and overall visual quality.
- Design and implement visual effects, particles, and motion graphics to enhance gameplay and user experience.
- Collaborate closely with artists, UI designers, game designers, and developers to ensure animations are implemented effectively.
- Optimize animation workflows and maintain consistency across multiple game projects.

Requirements
- 5+ years of professional experience in 2D game art and animation, including commercial experience with Spine 2D.
- Strong hands-on experience with Spine 2D.
- Proficiency with Adobe After Effects and Adobe Photoshop.
- Commercial experience creating animations for web applications, or games.
- Experience working on game projects, preferably in online, instant, casual, casino, or mobile games.
- Solid understanding of animation principles, including timing, spacing, anticipation, smoothness, and visual storytelling.
- Experience creating character, environment, object, and UI animations.
- Strong knowledge of VFX, particle systems, and motion graphics workflows.
- Experience working in a commercial game development studio or production environment.
- Portfolio demonstrating animation work for games, web products, or other interactive digital experiences.

Strong Advantage
Experience working on instant games, casino games, casual games, or mobile games.
Understanding of game development pipelines and asset optimization.
Experience integrating animations into game engines.
Knowledge of UI/UX animation best practices.

Why Join Us
Competitive compensation.
Challenging and high-impact tasks that drive professional growth.
Strong senior-level team and collaborative environment.
Fast decision-making and minimal bureaucracy.
Remote-first setup — work from anywhere or visit the office.
Investment in learning: courses, certifications, and internal knowledge sharing.
Healthy work-life balance: no overtime, no micromanagement.
Modern equipment: MacBook, Starlink, power bank if you need it
Bonuses for maternity leave and childbirth.
Additional internal perks and benefits.
 

1C / BAS Developer - Warehouse & Logistics Project

We’re looking for an experienced 1C / BAS Developer to join a short-term warehouse and logistics project.
 

The product is currently moving into an active operational stage and will support warehouses with a high volume of daily operations.

The main goal of this role is to quickly understand the existing 1C/BAS logic, stabilize warehouse processes, identify bottlenecks, and improve the system so it can reliably support day-to-day operations.
 

Project duration: ~2 months
Start: ASAP
 

What you’ll work on

• Analyze and improve existing warehouse processes in 1C / BAS
• Work with goods receipt, shipment, internal transfers, stock balances, reservations and inventory movements
• Review and improve document flows, registers and business logic
• Identify inconsistencies and bottlenecks in warehouse operations
• Fix and optimize slow or unstable processes
• Automate repetitive warehouse operations
• Support integrations and data exchange between systems where required
• Work closely with the project team during the launch and stabilization phase
• Help translate real warehouse operations into clear and reliable system logic
   

What we’re looking for

• Strong commercial experience with 1C 8.x / BAS
• Good understanding of 1C architecture, configurations, documents, registers and business processes
• Experience developing and modifying existing 1C / BAS solutions
• Strong debugging and problem-solving skills
• Ability to understand complex existing business logic quickly
• Ability to work independently and take ownership of problems

Domain experience

Hands-on experience with warehouse or logistics systems is highly important for this role.
 

We’re especially interested in candidates who have worked with:

• WMS / warehouse management systems
• warehouse operations
• inventory and stock management
• goods receipt and shipment processes
• internal warehouse movements
• order fulfillment
• ERP / trade management
• supply chain or logistics systems
   

We’re looking for someone who understands not only how to develop in 1C, but also how real warehouse operations work and how different processes affect each other.
 

If you have strong 1C / BAS + warehouse/logistics expertise and can join the project soon - we’d be happy to talk.

Location: Krakow, Poland (Hybrid — 3 days/week in office)
Workload: Full-time (160 hours/month)
Duration: 6–12 months
Rate: Up to $28/hour (USD)
English: Advanced (C1)
Start: ASAP

About the Role

We are looking for an experienced Senior Data Analyst to support strategic business initiatives through advanced SQL analysis of enterprise financial and operational data.

The role focuses on corporate finance, ERP data, budgeting, forecasting, financial reporting, and delivering actionable insights to senior stakeholders.

Responsibilities

• Extract, join, validate, and clean large datasets from ERP systems and enterprise data warehouses.
• Analyze financial and operational data, including budgets, forecasts, expenditures, and KPIs.
• Build reliable analytical baselines and validate business hypotheses in collaboration with Business Analysts.
• Develop complex, reusable, and well-documented SQL queries.
• Perform data reconciliation, quality checks, and financial data validation.
• Create analytical reports, visualizations, and decision-support materials.
• Present findings, assumptions, and recommendations to senior business stakeholders.
• Ensure analytical outputs are accurate, reproducible, and auditable.

Requirements

• 10–15 years of hands-on experience in data analytics or related analytical roles.
• Advanced SQL skills, including complex joins, data cleansing, reconciliation, and large-scale data analysis.
• Proven experience working with ERP systems and enterprise financial data.
• Strong understanding of corporate finance concepts, including budgets, forecasts, spend analysis, and financial KPIs.
• Experience working with management-information systems and enterprise data warehouses.
• Ability to produce reusable, documented, and auditable analytical solutions.
• Strong analytical thinking and business problem-solving skills.
• Experience collaborating with Business Analysts and senior stakeholders.
• Excellent communication and presentation skills.
• Advanced English (C1).
• Ability to work from the Krakow office 3 days per week.

What We Offer

• Long-term project (6–12 months).
• Full-time engagement (160 hours/month).
• Hourly rate up to $28 USD.
• Hybrid working model in Krakow.
• Opportunity to contribute to strategic enterprise-level financial initiatives.

We are looking for a Campaign Manager who will be responsible for managing advertising
campaigns, monitoring, and improving key advertising performance metrics (CTR, VR,
Conversion Rate) based on real-time data. Also providing analytical reporting of advertising
campaigns.

Key Skills and Experience:
- Strong analytical skills
- Excel knowledge (vlookup, summifs, pivot tables)
- Experience in preparing analytical reports
-  Intermediate level of English
- Highly organized, extremely detail-oriented
- Ability to work both independently and within a team
- Ability to work cross-functionally
 

Key Responsibilities:
- Setting — up all ads within the internal systems
- Monitoring live campaigns daily, and developing optimization recommendations to
maximize performance and ensure delivery
- Making data-driven decisions by tracking and reporting on quantitative and qualitative
campaign metrics
- Raising up technical issues, work with IT department
- Working closely with the Account Managers from the US
Bonus Qualifications:
- Experience in online video advertising space
- Experience with different BI systems, database dashboard tools like Tableau/Kibana
to build custom performance reports
 

Benefits:
- Competitive compensation package
- International work environment
- Paid vacation and sick leave

- Flexible working schedule and possibility to work remotely
- Annual performance bonus
- English classes
- Maternity/Paternity leave

We are looking for Senior Business / Data Analyst for our client in Vienna.  

Details:

Start: Q1 2027

Duration: 12 months++

Workload: Part-time 20hr/week

Location: Vienna & remote (1 time per month on site)

Language: English

Project Responsibilities:

• Gather, analyze, document, and manage business and data requirements
• Organize and facilitate workshops with business, controlling, finance, and technology stakeholders
• Analyze reporting and analytical requirements and translate them into functional specifications and acceptance criteria
• Support backlog management, refinement, prioritization, and iterative delivery
• Coordinate activities between business stakeholders and technical delivery teams
• Ensure alignment between business objectives and delivered analytical solutions
• Validate implemented solutions against business requirements and expectations
• Support testing, user acceptance testing, rollout, and release activities

• Contribute to the development of scalable reporting and analytics solutions for management and controlling processes

   

Qualifications:

• Minimum 5 years of relevant experience in Business Analysis, Data Analysis, Requirements Engineering, or a comparable role
• Strong experience in business and data analysis within reporting, analytics, or data platform initiatives
• Proven experience gathering and documenting business requirements, functional specifications, user stories, and acceptance criteria
• Good understanding of analytical data platforms, Data Warehousing, and reporting solutions
• Familiarity with Databricks and Tableau environments
• Experience with management reporting, KPI reporting, profitability, cost management, or financial performance management
• Proven experience working in Agile/Scrum environments, including backlog refinement, sprint planning, testing, and release activities
• Experience within banking, financial services, finance, or controlling is highly beneficial
• Experience supporting enterprise-scale data transformation initiatives
• Excellent stakeholder management and communication skills, a structured and analytical mindset, strong facilitation capabilities, and the ability to bridge business and IT perspectives

Our customer is a global, full-service e-commerce and subscription billing platform that helps SaaS, digital goods, and subscription-based businesses sell worldwide. For nearly two decades, the company has supported business growth by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale. Data plays a central role in the company’s decisions and operations. As the customer builds its next-generation data platform, you will help maintain and improve reporting solutions that business teams rely on every day.

You will maintain, troubleshoot, and develop Power BI reports and semantic models, working with DAX calculations and data available through Snowflake. Finance will be your primary business domain, including reporting that supports month-end closing and other financial processes.

The role combines hands-on development, data investigation, and collaboration with business stakeholders. You will receive technical and domain support during onboarding and gradually take ownership of reporting requests and day-to-day Power BI tasks.

Responsibilities:

• Maintain, troubleshoot, and develop Power BI dashboards, reports, semantic models, DAX measures, and calculated columns.
• Investigate data discrepancies, refresh behaviour, and reporting inconsistencies using SQL and Snowflake.
• Help Finance stakeholders understand report calculations, transformations, and the sources of reported values.
• Support reporting for month-end closing and other Finance processes, while contributing to other business reporting needs as priorities evolve.
• Clarify requirements, expected outcomes, and acceptance criteria with business stakeholders before implementation.
• Test and validate reports together with Finance stakeholders and the Data Quality Engineer.
• Document reporting logic, changes, and relevant data dependencies.
• Collaborate with Data Engineering and platform owners to resolve issues originating outside Power BI.
• Participate in the team’s Jira-based Scrum delivery process.

Requirements:

• 1+ year of practical Power BI experience, including report development, visualisations, filters, relationships, and semantic models.
• Good knowledge of DAX, including measures and calculated columns.
• Good knowledge of SQL, including joins, aggregations, and CTEs, with the ability to investigate underlying data independently.
• Understanding of relational and dimensional data concepts, including tables, keys, relationships, data types, and basic star-schema modelling.
• Understanding of Power BI connectivity modes—Import, DirectQuery, Live Connection, and Composite models—including their trade-offs and the specifics and limitations of Live Connection.
• Ability to investigate reporting discrepancies, refresh behaviour, and data dependencies.
• Strong attention to detail and a habit of validating results before sharing them with business users.
• Ability to communicate with business stakeholders, ask clarifying questions, and translate requirements into reporting changes.
• Willingness to learn Finance metrics, reporting needs, and business processes.
• Upper-Intermediate English or higher for collaboration with English-speaking stakeholders.

Nice to have:

• Experience with Snowflake.
• Exposure to financial reporting or analytics.
• Familiarity with Jira, Agile, or Scrum.

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

We are looking for Senior Data Analyst to support high-priority strategic initiatives through practical analysis of enterprise finance data, creating robust baselines and evidence for executive decisions

Details: 
Location: Krakow, Poland

Working Model: Hybrid - 3 days/week in office
Start: ASAP 
English: Fluent 
Experience: 10+ years

Key responsibilities

Query, join, validate and clean large datasets from ERP platforms and management-information data warehouses

Analyse budgets, forecasts, spend, KPIs and other financial / operational measures

Build reliable baselines and test business hypotheses together with Business Analysts

Develop reusable, documented SQL queries, analytical outputs and clear visualisations

Explain insights, assumptions and limitations in working sessions with senior stakeholders.

Required profile

Approximately 10-15 years of hands-on data analytics experience.

Advanced SQL: complex joins, cleansing, reconciliation and analysis of enterprise data

Real experience with ERP / management-information finance data and budgets, forecasts or spend.

Ability to create auditable, reusable analysis rather than one-off presentations.

Confident communication of findings to non-technical senior audiences; advanced English.

Based in Krakow or able to attend the Krakow office 3 days per week.

We are an IT company looking for proactive, communicative specialists to join a product team on a long-term basis. We focus on results and care about the growth of our people.

Currently, we are looking for a BI Specialist. If you enjoy turning complex data into clear insights that people actually use, join us.

About the project: An AI-driven analytics product for financial data. You will build the dashboards that the product’s end clients use to make data-driven decisions.

Required skill set:

• 3+ years of experience in BI development.
• Strong knowledge of Tableau.
• Strong SQL.
• Ability to present financial and business data clearly.
• Experience gathering reporting requirements.

Will be a plus:

• Experience with Snowflake.
• Understanding of financial reporting and budgeting.
• Experience in FinTech or consulting.

Responsibilities:

• Developing dashboards in Tableau.
• Visualising analytical results in a clear and actionable way.
• Working with data engineers on the reporting data model.
• Refining reporting requirements with the product team.
• Ensuring the accuracy and consistency of reports.

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.
 

We are looking for a Data Analyst to join our team!

Requirements:

- Proficiency in SQL, including advanced querying and window functions;
- Experience with BI reporting tools (e.g., Tableau);
- Familiarity with databases, such as ClickHouse;
- Skills in hypothesis validation and data-driven analysis;
- At least 3 years of experience in data analytics.

Responsibilities:
- Developing and maintaining according to the agreed standards BI dashboards;
- Create and maintain data sources and data flows to ensure accuracy, validity, data integrity, and data freshness;
- Adhoc analytical requests (segmentation, data export, metric snapshots);
- Brainstorming and collaboration with different business streams;

Will be plus:

- Python (in case of API usage or tasks resolving);
- Experience in Contact Centre / Customer Support industry;

Technical Stack:

- SQL;
- Python (optional);
- Clickhouse;
- Excel/GoogleSheets;
- Tableau;
- Miro;
- Jira.

Our benefits to you:

- Paid annual leave.

- Paid days off.

- RedCore TEAM corporate gamification system.

- Annual corporate events for employees.

- Reimbursement of business travel expenses.

- Flexible working format and start time.

- Employee learning and development system.

- Mentoring program.

- Overtime compensation.

- Referral program with a cash bonus.

- Corporate psychologist.

- Cafeteria benefit system: sports, insurance, language learning (depends on region).

Responsibilities: 

1. Ownership

   Be the analytics counterpart for a product domain 1:1 chat, content packs, negotiations, live streaming — you become the person PMs and engineers come to for any number in that area, and the person accountable when it's wrong.

2. Experiments

   Run A/B tests on product features, end to end Turn a product hypothesis into a test: primary and secondary metrics, the minimum effect worth detecting, and the audience. Confirm the population split and assignment events are genuinely correct before trusting the readout. Monitor it while it runs, then deliver a clear ship / don't-ship call and the reasoning behind it. This is a large part of the job, not an occasional project.

3. Pipelines

   Build and maintain the datasets behind your domain Write production transformations as SQL and YAML pipeline config, with freshness, uniqueness and validity checks. Your work goes through code review like any engineer's.

4. Events

   Specify instrumentation before it's built Write the BI event spec for new features across Android, iOS and Web; then verify after release that events actually fire the way the spec said, and chase the gaps when they don't.

5. Dashboards

   Own dashboards and the models under them

   Including retiring the ones nobody opens. A dashboard with no reader is a cost, not an asset.

6. Analysis

   Investigate what moved and why Revenue and conversion anomalies, feature performance, behavioural questions from PMs. Present findings to people who will act on them.

7. Incidents Size production incidents under time pressure When something breaks, you're asked how many users were affected and for how long — quickly, and precisely enough to defend the number when engineering disagrees with it.
8. Cost Keep query and pipeline cost honest Partitioning, clustering, and knowing why a query scans what it scans. Warehouse capacity is shared and finite; an expensive pipeline is everyone's problem.

Requirements:

• Advanced SQL, including window functions and multi-source joins — and the ability to reason about what a query costs, not only whether it returns.
• A strong experimentation background. Hypothesis testing, confidence intervals, power and minimum detectable effect — and the failure modes: peeking at a running test, multiple comparisons, hunting for a segment where the result works. You should also be the kind of person who checks that the experiment itself is sound before trusting its numbers.
• 3+ years as a product or data analyst on consumer products, with real exposure to both mobile and web.
• Critical use of AI analytics tooling. We use an internal Claude-based layer over BigQuery heavily. We want someone who checks what it produces before passing it on.
• Comfort shipping code: git, merge requests, reading and reviewing someone else's SQL. You'll write production pipeline code, not only notebooks and queries.
• Working knowledge of product event tracking: what a well-specified event looks like, and why the same event behaves differently across platforms.
• English at B1 or above. You'll write specifications that engineers build from and present findings to product stakeholders, so clear written English matters more than fluent speech.

Strong advantage

• BigQuery specifically — partitioned tables, clustering, slot-based pricing.
• Airflow, dbt, or another orchestrated transformation framework.
• Having been the analyst on a production incident, not only in the post-mortem.

Nice to have

• Python with the usual statistical libraries — pandas, scipy, stats models.
• A BI tool such as Looker, Tableau, or Power BI — having built the models and dashboards, not only read them. We use Looker today but are moving off it, so the particular tool matters much less than having done the work in one.
• Data quality tooling such as Soda or Great Expectations.
• Experience in social, live-streaming, gaming or another engagement-driven consumer product.
   

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assessment
3. Python assessment 
4. Technical interview
5. Client interview

We are looking for a Data Analyst to take ownership of regular and clear analytics. The primary focus of this role is the efficient extraction of data from corporate databases and its visualization using Power BI.

This position involves executing clearly defined dashboard-building tasks, without involvement in deep ad-hoc research or testing product hypotheses.
 

📋 Key Responsibilities:

• Formulate and execute complex SQL queries to extract and prepare data from relational databases.
• Develop, deploy, and maintain analytical dashboards in Power BI.
• Perform data modeling in Power BI and create calculated metrics and indicators using DAX.
• Automate report refresh processes and ensure data accuracy and timeliness.
• Collaborate with cross-functional teams to clarify requirements regarding report structure and format.
   

⚙️ Qualifications & Requirements:

• Strong SQL proficiency: writing complex queries, working with aggregations, JOINs, subqueries, and window functions.
• Hands-on experience with Power BI: building reports from scratch, configuring table relationships, and intermediate DAX knowledge.
• Understanding of database design principles and query optimization.
• Knowledge of Data Visualization Best Practices to build intuitive and user-friendly reports.
• High attention to detail and accountability for the accuracy of calculated metrics.
   

🎁 What We Offer:

• Format: Remote work, 5/2 schedule.
• Payments: In USDT.
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.

We're hiring a Senior Data Engineer / Data Analyst to own our data end to end: the pipelines into ClickHouse and BigQuery, our migration to ClickHouse, and the analytics supporting our social casino and mystery-box ecommerce businesses.

About the Company

We develop social casino games and mystery-box ecommerce applications for web and mobile. Our social casino products operate on a virtual-coin economy with live ops, missions, and promotions. We are also developing mystery-box ecommerce brands where customers purchase boxes containing real physical products.

Data drives our product decisions: which players and buyers to acquire, which promotions to run, and how to keep each economy healthy. You'll be responsible for making that data reliable and turning it into actionable insights.

What You'll Do

Build and Run the Pipelines

• Own ingestion into ClickHouse and BigQuery from PostgreSQL and MongoDB change-data-capture, client and server events, payment providers, and AppsFlyer.
• Run and extend the Airflow DAGs that build our bronze, silver, and gold layers. Make every job idempotent, backfillable, and monitored.
• Add freshness and quality checks, and alert when a table is late or wrong.
• Make ClickHouse our main analytics warehouse in place of BigQuery, starting with our mystery-box products.
• Design ClickHouse schemas, sort keys, materialized views, and retention for events, orders, and wallet data.
• Migrate pipelines, models, and dashboards, and run both warehouses side by side until the numbers match.
• Keep BigQuery reliable and cost-controlled while the social casino products still run on it.

Build the Business Analytics

• Maintain the KPI layer leadership uses to run the company: DAU, revenue, retention, LTV, ROAS, and economy health.
• Move reporting off Tableau and older analytics tools onto our own AI dashboards, built in-house on the tables you create.
• Answer ad hoc questions for product, live ops, marketing, and finance.
• Design A/B tests and promotion experiments, and interpret their results accurately.

Work with the Product Teams

• Agree on event schemas and tracking with backend and client engineers before a feature ships.
• Define metrics consistently and document every table so all teams and AI dashboards report the same numbers.

Questions You'll Answer

These are examples of the questions you'll own, from the pipeline to the answer.

Social Casino

• Which acquisition sources pay back, and by which day?
• How do missions, promotions, and coinback change retention and spend?
• Is the virtual-coin economy inflating?
• Where do new players drop off in their first session?

Mystery-Box Ecommerce

• Which boxes convert from view to purchase, and why?
• How does the value of the products received compare with box prices across different tiers?
• Do referrals and promotions bring repeat buyers or one-time discount hunters?
• Which countries and devices grow fastest?

Company

• What is one revenue and margin view across all products for the CEO and CFO?
• Which metrics should every team report the same way?

Our Data Stack

• Sources: PostgreSQL (transactions, wallets, payments), MongoDB (missions, segmentation, analytics projections), client and server events, AppsFlyer.
• Ingestion: Change-data-capture mirrors of PostgreSQL and MongoDB into ClickHouse and BigQuery; Airflow for scheduled jobs.
• Main Warehouse: ClickHouse, replacing BigQuery, with mystery-box products moving first. It also holds our telemetry through OpenTelemetry (ClickStack).
• Legacy Warehouse: BigQuery, organized in bronze, silver, gold, and semantic layers until the migration is complete.
• Cloud: Google Cloud and AWS.
• Products: TypeScript backends, React web apps, native mobile apps.
• Dashboards: In-house AI dashboards built on ClickHouse and BigQuery tables, replacing Tableau and older analytics tools.

What You Bring

• 6+ years of experience in data engineering, analytics engineering, or a data analyst role where you built and owned production pipelines.
• Expert SQL, including window functions, cohort queries, and query-plan tuning.
• Production ClickHouse: MergeTree table engines, sort keys, materialized views, and TTLs. Having led a warehouse migration is a strong plus.
• Production experience with BigQuery: partitioning, clustering, scheduled jobs, and cost control.
• Python for pipelines, and an orchestrator such as Airflow. dbt or a similar modeling tool is a plus.
• Change-data-capture or event streaming from operational databases (for example, Datastream, Debezium, Pub/Sub, or Kafka).
• Data modeling you can defend: layered or dimensional models, slowly changing dimensions, safe backfills.
• Product analytics: retention cohorts, LTV, ARPDAU, funnels, and A/B test design with a correct read of significance.
• Analytics that go beyond a BI tool: you design the tables, metric definitions, and queries an AI dashboard can answer from correctly. Tableau experience helps with the migration.
• English: Upper-Intermediate (B2) or higher.

Nice to Have

• Social casino, free-to-play, or mobile gaming analytics: virtual-currency economies, live ops, payer conversion.
• Ecommerce or mystery-box analytics: conversion funnels, average order value, repeat purchase, box value versus price, promotion and referral attribution.
• Mobile measurement partner data (AppsFlyer or similar), user acquisition, and ROAS modeling.
• OpenTelemetry or ClickStack, and observability data at volume.
• Infrastructure as code (Terraform) on Google Cloud or AWS.
• Enough TypeScript to add or fix an event at the source.
• Privacy-safe data handling: PII separation and account-deletion requests.

Location: Remote

Your expertise:

• Degree in Statistics / Mathematics or Finance
• SQL knowledge on a good level
• Good theoretical background in math’s and statistic
• Good understanding of predictive analytics
• Experience building visualizations in Tableau or other similar tools
• Experience working with data received from Google Analytics, AdWords, Facebook, etc.
• Understanding of LTV / CAC, Conversion Rate, Cohort analysis, Retention Rate
• Understanding of digital marketing, especially PPC and SEO fields
• Analytical mindset
• Upper-intermediate English (written and spoken)
• Minimum 5 years of experience on similar position
• Python, R knowledge will be a plus

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity / paternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Provide Product Pod with deep insights regarding all activities
• Support in decision-making
• Building forecasts and prediction models
• Data analysis to detect the reasons of deviations in the main and secondary metrics
• Help maximize revenue by bringing early attention issues or changes in trends related to our products, business practice, processes, finances, and accounting
• Ensure that data is tracked in the proper manner
• Looking for alternative data sources and tools
• Initiate deep digging analysis
• Create visualizations and presenting them to the stakeholders

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 17 million domains under management.

Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Performance Analyst will become a member of a professional and motivated team. Our main goal is to transform data into knowledge. Performance Analyst will work closely with the Product Team and will help with data analysis, finding patterns, looking for hidden correlations, assist in managing the pricing policy.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

We are looking for a Data Analyst to join our team and work with data and automation solutions.
You will use Excel/VBA, SQL, Python, and Alteryx to process data, automate repetitive tasks, and improve existing workflows.
This role is suited for someone with strong analytical skills, good Excel/VBA knowledge, and an interest in automation and new technologies.

Responsibilities:

• Develop, maintain, and improve data workflows using Alteryx and other low-code platforms;
• Work with databases and perform data preparation, transformation, and validation;
• Automate repetitive data-related processes;
• Support and improve existing Excel/VBA-based solutions
• Use SQL and Python where applicable for data processing and automation;
• Troubleshoot and optimize existing workflows.

Requirements:

• Basic knowledge of SQL;
• Knowledge of Python at any level;
• Good knowledge of Excel;
• Practical knowledge of VBA / Excel Macros;
• VBA experience from university, courses, personal projects, or commercial work is welcome;
• Strong analytical and problem-solving skills;
• English: Intermediate (B1+) or higher.

Nice To Have:

• Basic knowledge of Alteryx or other low-code platforms;
• Experience working with databases and data transformation;
• Interest in process automation and willingness to learn new technologies.

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