Вакансии Data Analyst / Business Intelligence

Gunzilla Games is looking for a data-driven gamer who lives and breathes shooters. As our Product Analyst, you’ll analyse player behaviour across OTG (Off The Grid), an all-new AAA Extraction Battle Royale shooter, currently available as Early Access on PlayStation®5, Xbox® Series X|S, and PC and work closely with design and dev teams to shape gameplay, balance, and live service performance. Your insights will help create smoother progression, fairer matches, and more rewarding combat experiences.

Responsibilities:

• Analyse in-game player behaviour, combat stats, progression, and match data
• Work with designers to evaluate weapon balance, map flow
• Track and report on core KPIs (retention, win/loss, K/D ratio, churn, etc.)
• Build dashboards, reports, and KPI tracking (Excel, SQL, Power BI, etc)
• Support planning for new features with data-backed insights
• Help define and document requirements with dev teams
• Assist in live service analytics, including patch impact and seasonal performance
• Create clear reports, dashboards, and actionable insights using KQL, Power BI, or similar tools

Requirements:

• 2 + years of experience in A BI Analyst, Data Analyst, Game Analyst or Product Analyst position, preferably in gaming industry;
• Passion for gaming + an analytical mindset
• Familiarity with SQL, Excel, and BI tools (Power BI, Tableau, etc.)
• Knowledge of KQL, Microsoft Azure, or any experience with telemetry data
• Understanding of game mechanics, player progression systems, and multiplayer design
• Strong analytical and problem-solving skills.
• Excellent English communication skills – both written and verbal.
• Ability to work collaboratively in a fast-paced, creative environment.
• A passion for gaming (we’d love to hear what you play!).

Plusses

• Python language knowledge
• Experience with Azure Data Explorer
• Exposure to Agile/Scrum methodologies.

Ciklum is looking for a Senior Data Analyst to join our team full-time in Ukraine.

About the role:

As a Senior Data Analyst, become a part of a cross-functional development team engineering experiences of tomorrow. With almost 100 million active users across 25 countries, they’re a global food tech company.
As a recently formed team, they have many opportunities and ideas for sharing value back to the customers within their continuously expanding platform. They're looking for talented and trusted engineers to help them impress their customers.

Responsibilities

• Optimize BigQuery performance, identify and resolve inefficient queries, and implement best practices for data processing at scale
• Analyze SQL code for antipatterns and perform refactoring to improve query execution, cost efficiency, and maintainability
• Develop and implement strategies for BigQuery storage optimization, including data partitioning, clustering, and archiving
• Collaborate extensively with various data teams to understand their pipelines, identify optimization opportunities, and provide guidance on efficient BigQuery usage
• Provide mentorship and support to data engineers, fostering a culture of continuous improvement in data pipeline efficiency and quality
• Develop and maintain documentation for BigQuery optimization techniques, best practices, and standard operating procedures
• Participate in code reviews, ensuring adherence to BigQuery optimization principles and high-quality SQL code standards
• Design, build, and maintain optimisation-related BI dashboards

Requirements

• 5+ years in data analysis or BI – ideally within network security, cloud operations, or a SOC environment
• Strong proficiency with SQL (BigQuery dialect), including complex joins, window functions, CTEs, and performance tuning
• Comfortable building and maintaining ETL pipelines (Airflow, Bash, Python)
• Hands-on with data visualization tools (Tableau, Power BI, Looker, Grafana)
• Good understanding of data lake and lakehouse concepts, partitioning and clustering
• Familiarity with data catalog/governance platforms (Apache Atlas, DataHub) and Git for schema/version control
• Skilled in data profiling, cleansing, and enrichment techniques to ensure high-quality inputs
• Strong problem-solving mindset, attention to detail
• Good communication skills – able to translate complex data into actionable business insights in English

We are looking for a Senior BI Developer to join our team. This role involves designing, developing, and maintaining BI solutions for a Danish hearing aid manufacturer. Your primary goal will be to create robust BI solutions that enable accurate and insightful reporting for key stakeholders.

Your tasks

• Develop and maintain BI solutions using the MS Power BI stack, including dashboards, reports, and data models
• Design and implement data pipelines
• Work with SSAS, SSIS, SQL, and Tabular cube models, and assist in migrating and integrating these systems into modern BI solutions
• Monitor and improve data quality and performance of BI solutions to ensure timely and accurate delivery of insights
• Collaborate with cross-functional teams to understand data requirements and ensure accurate data mapping and integration

Requirements

• At least 5 years of experience as BI Developer
• Strong expertise in MS tabular models, both conceptually and technically
• Proficiency in SQL scripting and writing efficient queries
• Ability to effectively translate functional requirements into SQL code
• Background in building and optimizing data pipelines and workflows
• Analytical mindset with a focus on transforming business needs into technical solutions
• Fluent in written and spoken English
• Tax residence in Ukraine is required

Побудувати єдину, зрозумілу та масштабовану аналітичну систему, що об’єднає всі ключові бізнес-метрики (трафік, контент, монетизація, продуктові фічі) в одне джерело правди та стане інструментом для прийняття сильних, стратегічних рішень. Ці рішення матимуть безпосередній вплив на якість і розвиток тисяч статей та досвід десятків мільйонів користувачів у всьому світі.

Твої майбутні виклики:

• Аудит та оптимізація аналітичної інфраструктури – оцінити поточні інструменти (GA, Amplitude, Tableau, FB Ads, CMS, onthe.io, GAM тощо) та усунути прогалини.
• Побудова єдиної системи метрик – створити data dictionary, стандартизувати трекінг подій, уніфікувати підходи до збору та обробки даних.
• Розвиток аналітичної культури – формувати підхід “рішення на основі даних” та розвивати культуру AI-powered аналітики в компанії.
• Побудова гнучкої системи аналітичних інструментів, що охоплює як оглядові панелі для CEO з ключовими метриками, так і глибинні drill-down рішення для продуктових і контент-команд.
• Підтримка A/B-тестів – аналіз результатів і формування рекомендацій для продуктових рішень.
• Співпраця з командами – проактивно надавати інсайти, щоб контент, продукт і маркетинг працювали ефективніше.

Що допоможе бути ефективним/ною в цій ролі:

• 4+ років досвіду в ролі Data/Product Analyst у продуктових, медіа чи digital-бізнесах.
• Досвід побудови систем метрик і дашбордів з нуля та впровадження стандартів трекінгу.
• Впевнене володіння SQL, Python та вміння працювати з великими наборами даних.
• Практичний досвід автоматизації аналізу та побудови моделей прогнозування, у т.ч. із застосуванням AI-інструментів.
• Досвід роботи з аналітичними інструментами (Google Analytics, Amplitude, Facebook Ads, Google Ad Manager тощо).
• Навички роботи з BI-системами (Looker Studio, Tableau або аналогічні).
• Англійська: рівень Upper-Intermediate або вище.

Буде перевагою:

• Досвід роботи з контентними чи медіа-продуктами.
• Досвід користування інструментами та сервісами AWS.
• Участь у продуктових A/B-тестах з аналізом впливу на ключові метрики.
• Робота з міжнародними ринками, зокрема США та Європою.

We are seeking an experienced Data Analyst to join our dynamic team and help turn complex data into actionable insights that drive business decisions. Leveraging your expertise in dbt, SQL, Metabase, and AWS, you will collaborate with cross-functional teams to design, implement, and interpret analytical solutions across a variety of projects.
This project involves managing financial assets owned by the company. It utilizes machine-learning models that operate on data ingested from third-party APIs. The process includes ELT (extract, load, transform), data modeling in Snowflake using DBT, training ML models using AWS SageMaker, running predictions, and storing predictions back in Snowflake.

Responsibilities:

• Consolidate data from various domains and construct interactive dashboards
• Data modelling using dimensional (Kimall) approach
• Conduct ad hoc analyses as required with extensively usage of SQL
• Identify and address data quality issues (in reports)
• Work with our current data stack: Snowflake, dbt, AWS services
• Collaborate with teams from the Data Engineering, Analytics, Data Science teams to establish and maintain consistent use of business definitions in a source of truth tables, and recommend continuous improvement strategies.
• Provide clean data sets to end users, modeling data in a way that empowers end users to answer their questions.
• Transform, test, deploy, and document data using version control and continuous integration to the analytics code base.
• Design, develop, test, automate, and launch new dashboards and reporting solutions across the company.
• Maintain and support existing metrics, KPIs, reports, and dashboards.
• Work with the Analytics and Engineering teams to understand existing internal tools and data warehouses, identify data quality and reliability improvements, and establish best practices.
• Be able to explain technical work to non-technical audiences and translate business logic from stakeholders to technical work

Requirements

• 3+ years of experience in Data Analytics.
• 1+ years of experience with dbt
• Advanced SQL skills with extensive hands-on experience.
• Familiarity with Metabase, PowerBI, or other BI tools.
• Proven track record of translating data insights into business actions.
• Proficiency with Python or R for data analysis and automation
• Previous experience with version control and continuous integration to a code base.
• Understanding of ETL/ELT processes and data pipeline orchestration.
• Experience with scheduling/report automation (e.g., using cron, AWS Lambda, or Step Functions).
• Knowledge of data security and governance within AWS.
• Train and provide technical mentorship to other data analysts/engineers
• Adaptable and able to thrive in a fast-paced, dynamic work setting.
• Strong organizational skills with keen attention to detail.
• Excellent communication, analytical and interpersonal skills.
• English – Upper intermediate or Advanced

Nice to Have

• Familiarity with Snowflake
• Familiarity with Jupyter Notebooks or similar.
• Knowledge of data pipelines and workflow orchestration (e.g., with AWS Glue, Airflow, or Step Functions).

Join an early-stage stealth startup in AI and be part of groundbreaking discoveries.
Our client is building an intelligent AI agent designed to seamlessly integrate and analyze corporate financial data from various CRM and ERP systems. If you're passionate about AI, data, and shaping the future of enterprise tech, this is the place for you.

What makes you a great fit

• Proficient in SQL and Python for data analysis and automation.
• Hands-on experience with Amazon Redshift and Snowflake data warehouses will be a big plus.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Experience with data visualization tools such as Tableau, Power BI, or similar is a plus.
• Upper-intermediate English level.

Your day-to-day in this position

• Work with a wide variety of enterprise data sources, including common SaaS platforms such as Salesforce, NetSuite, and Workday, as well as new and unfamiliar data systems.
• Analyze database schemas and structure relationships between tables to create accurate and insightful schema maps.
• Translate complex business questions into clear, efficient, and well-documented SQL queries (and occasional hybrid API-SQL queries).
• Write complex SQL queries to extract and manipulate data from Redshift, Snowflake, and other data sources.
• Automate data processes and support ETL pipeline development.

How exactly you can influence the development of the Company:

• Organizing the work of a team of 5+ analysts (Junior, Middle, Senior)
• Prioritizing requests, estimating workload, managing SLA for analytical requests
• Organizing team efforts to support product domains: deep feature analysis, A/B testing, building metric trees
• Developing and controlling the reporting system
• Initiating and implementing high-impact analytical projects (LTV, retention, segmentation)
• Implementing and maintaining best practices (report templates, documentation, reproducibility, versioning, documentation)
• Mentoring analysts, conducting code reviews, helping with development planning

Challenges for three months:

• Auditing the analytics team: distributing, prioritizing tasks
• Establishing a framework for prioritizing incoming requests and progress tracking
• Implementing regular 1:1, code reviews, mentorship practices
• Launching initial initiatives to increase transparency in task execution
• Providing proposals for simplifying access to analytics for end users, growth area recommendations

Challenges for six months:

• Giving recommendations for restructuring teams into feature-teams (as needed)
• Ensuring team task delivery within established SLA
• Creating analytical templates for typical requests (retention, conversion, metric tree)
• Identifying and eliminating major bottlenecks in interaction processes between the analytics guild and stakeholders
• Proposing at least 2 initiatives with significant business impact (e.g., new segmentation, pricing optimization, churn prediction model)

To achieve the results, you will need:

• 5+ years of experience in data analytics, including 1+ years in a lead analytics role
• Being skilled in team formation: hiring, onboarding, developing, giving feedback
• Experience in setting goals for teammates, conducting 1:1 and performance review
• Managing team resources, overseeing priorities and controlling outcomes at the process level
• Being confident in SQL, understanding ETL/ELT processes, having practical experience with BI tools
• A deep understanding of product metrics and funnel logic: retention, conversion, activation, LTV, CAC
• Strong soft skills: communicating, facilitating, being able to “sell” insights

Certainly, we will teach you, but it’s good to have:

• Experience in working with dbt: building models, using staging/source/marts layers, testing, documenting
• Experience in working with product/marketing teams in Agile environment

We are searching for a skilled and enthusiastic person to join Data Analytics Department. You will be part of a team who main responsibilities are to gather, store and analyze big amounts of data in order to identify new opportunities like smarter business moves, more efficient operations. As a Tech Leader of the department, you will participate in the whole solution delivery process.

Responsibilities:

• Architecting solutions for Data Analytics Department.
• Analyze and estimate implementation efforts.
• Be technical mentor for less technically experienced team members.
• Report to PM about current tasks status and risks.

Required skills:

• Skills in gathering, analysis, ETL design, development, testing and implementation of data warehousing systems.
• Skills in creating and monitoring workflows on Apache Airflow.
• Skills with Python 3 programming language.
• Experience in MySQL and Elasticsearch storages.
• Experience in back-end engineering (node.js, python).
• Experience in virtualization technologies and microservices (docker).
• Advanced written and spoken communication skills in English.

As a plus:

• Skills in architecting microservices systems.
• Experience in orchestration (Terraform, Kubernetes).

Pwrteams are seeking a Data Analyst to join the TUI Musement Data Science & Analytics Team. You will be providing support to the business experts in TUI Musement in the definition of the requirements for the Data team. You will join a team that will have as its main objective to use TUI data sets and combine it with external data streams to create additional and innovative value for business development, process optimization and a more personalized digital service delivery.
Imagine being at the forefront of how data transforms the travel industry!

Responsibilities:

• Liaise with IT to develop a joint data-led ecosystem to provide Descriptive & Predictive data insights.
• Liaise with business units to understand business needs, perform in-deep analysis to design data solutions to drive decisions made on data products.
• Contribute to the strategic definition of the tool’s ecosystem needed for a data-led business.
• Collaborate actively with the team that will correctly drive the automation of all the current manual data reporting solutions.
• Collaborate with the team that manages all the Data Integrations (from a functional perspective).
• Drive a cultural change to help TUI Musement in its data-led and digital transformation.
• Contribute to the design and implementation of data solutions (integration + quality check + visualization).
• Explore data visualization techniques for best UX across the business.
• Contribute to the effective communication to both internal and external stakeholders of the current data and analytics solutions and future analytics roadmap for TUI Musement.

Qualifications:

• A Master’s degree in Statistics, Physics, Mathematics, Computer Science, Economics, or any other related quantitative field or working experience of the same is also acceptable for the position. Business-oriented education is also valuable.
• The candidate must have proven and successful experience and a track record of participating in Business Intelligence and Business Analytics projects in large organizations with relevant complexity. Tourism sector expertise is not mandatory but will be highly valued.
• High level of attention to detail, concern about data quality, and excellent execution. Skilled to contribute as a team player and an individual.
• Ability to manage multiple tasks and conflicting priorities without losing focus on planning.
• Problem-solving skills and systems thinking is highly valuable.
• Expertise in visualization/dashboarding techniques and tools – expertise in Power BI/Tableau or other related tool is necessary.
• Proficient SQL level.
• Proficient DAX level.
• Python is a nice-to-have.
• Google Tag Manager and Google Analytics is a nice-to-have.
• Culturally intelligent individual, trustworthy and committed professional, exceptional at dealing with ambiguity within a global perspective.
• Passion for learning without fear of failure in a passionate and agile team.
• Excellent communicator, both verbal and written, in English. Comfortable communicating high level concepts to senior stakeholders whilst also being able to delve into the detail of complex changes when required.