Apply

Data Analyst -

Posted about 1 month agoViewed

View full description

πŸ“ Location: Poland, Europe time zone

πŸ” Industry: Startup ecosystem and research

🏒 Company: StartupBlinkπŸ‘₯ 1-10πŸ’° $28,000 Seed over 11 years agoCrowdsourcingGeospatialMapping ServicesAnalytics

πŸ—£οΈ Languages: English

πŸͺ„ Skills: PythonSQLPandas

Requirements:
  • Passion for startup ecosystems and economic development.
  • Tech-savvy and analytical, with proven coding proficiency in Python.
  • Motivation and adaptability in a fast-paced environment.
  • Independent thinker and team player who can meet deadlines.
  • Full command of English at a professional level.
Responsibilities:
  • Handle day-to-day operations of the Data team.
  • Work closely with the Data Manager, Development team, and the CEO.
  • Research, process, and analyze data sets for various organizational projects.
  • Create reports for internal and external clients, providing valuable insights.
  • Maintain and improve Python scripts and infrastructure.
Apply

Related Jobs

Apply
πŸ”₯ Data Analyst
Posted about 3 hours ago

πŸ“ Spain, Italy, Germany, Poland, Turkey, Brazil, Mexico

🧭 Full-Time

πŸ” Software Development

  • 1-2 years of experience in data analysis within a digital product start-up or SaaS company
  • Degree in Statistics, Mathematics, Computer Science, Economics, or a related field
  • Proficiency in SQL, Excel, and data visualization tools (e.g., Looker, Tableau)
  • Strong analytical skills to translate data into insights
  • Excellent communication skills to present data clearly and concisely
  • Fluent in English and Italian (Spanish is a plus)
  • Extract, analyze, and interpret data to generate actionable insights
  • Build dashboards and reports using Looker, Tableau, or similar tools
  • Ensure accuracy and consistency in data sources
  • Support business teams with modeling and structuring data for analysis

SQLData AnalysisTableauData visualizationData modeling

Posted about 3 hours ago
Apply
Apply

πŸ“ United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, Ireland

πŸ” SaaS

🏒 Company: LokaliseπŸ‘₯ 101-250πŸ’° $50,000,000 Series B about 3 years agoInformation ServicesDeveloper APIsSaaSInformation TechnologyCollaborationTranslation ServiceSoftwareCloud Infrastructure

  • 3+ years of experience in data analytics in a SaaS B2B environment in at least one (more is a plus) of the following business areas: Product, Marketing and/or Sales.
  • Proficiency in analytics and data tools and technologies like SQL, Python, DBT, and knowledge of statistical analysis, predictive analytics and experimentation (e.g. A/B testing)
  • Experience with data visualisation tools (e.g. Metabase, Looker or Lightdash)
  • Experience working with a version control environment (e.g. git).
  • Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives.
  • Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business.
  • Maintain data integrity and quality through the use of tools such as DBT.
  • Partner with marketing, sales, and product growth teams to provide customer insights and identify opportunities for optimisation in customer acquisition, retention and engagement flows.
  • Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments.

PythonSQLGitSnowflakeData visualizationData modelingData analyticsA/B testing

Posted 4 days ago
Apply
Apply

πŸ“ Poland

🧭 Full-Time

πŸ” On-demand services

🏒 Company: GlovoπŸ‘₯ 1001-5000πŸ’° $527,731,096 Series F almost 4 years agoπŸ«‚ Last layoff about 2 years agoDelivery ServiceFood DeliveryLogisticsTransportationMobile Apps

  • 1-2 years experience in analytical roles
  • Proficiency in Excel and Google Sheets
  • SQL proficiency
  • Business acumen for project management
  • Knowledge of visualization tools like Looker or Tableau is a plus
  • Work with local and international Growth Marketing teams
  • Track and monitor key Growth metrics
  • Take ownership of KPI reporting and design dashboards
  • Identify growth opportunities
  • Drive projects end-to-end

SQLBusiness AnalysisData AnalysisData visualization

Posted 5 days ago
Apply
Apply

πŸ“ Europe

🧭 Fulltime

πŸ” Staking and Restaking

🏒 Company: P2P. org

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Deep knowledge of cryptocurrency and blockchain technology.
  • Data research skills, including probability theory and mathematical statistics.
  • Ability to work with models like regressions and A/B tests is considered an advantage.
  • Competence with the analytical Python stack.
  • Experience working with ETL instruments such as Airflow and dbt.
  • Proficiency in advanced SQL, including different joins and window expressions.
  • Advanced knowledge of visualization tools (e.g., Tableau, Superset, Looker).
  • Data storytelling skills and ability to form opinions based on data.
  • Fluent in English: B2+.
  • Explore Restaking blockchain ecosystems to detect possible opportunities and risks.
  • Optimize economy for validation process including research, modeling, and improving business processes.
  • Design and develop end-to-end data solutions from initial analysis and model development to deployment.
  • Provide informative dashboards to team, company, and community.
  • Configure data platform instruments to load, process, and transform data.
  • Formulate data requirements for data engineering team, deciding on granularity, frequency, and data quality.
  • Govern team data marts and provide data lineage from sources to reporting.
  • Provide ad-hoc support to your team.

PythonSQLApache AirflowBlockchainData AnalysisETLTableauData visualizationData modeling

Posted 13 days ago
Apply
Apply

πŸ“ EMEA

🧭 Full-Time

πŸ’Έ 40900.0 - 92050.0 USD per year

πŸ” Employing

🏒 Company: Remote - Referral Board

  • Experience in data science / advanced analytics / statistical modelling experience, ideally within Sales/Marketing/Finance or other commercial parts of the organization
  • Working knowledge of workhorse machine learning algorithms (particularly supervised learning using Python), and their typical use cases in a commercial organization
  • Insatiable curiosity to proactively pose deeper questions, not be satisfied with superficial answers, and dig into vast granular data to uncover conclusive answers analytically
  • Strong proficiency in SQL (in Snowflake) to manipulate data easily
  • Demonstrated ability to craft precise analytical questions from ambiguous business problems, and roll up the sleeves to address them
  • Understanding of causal inference methods to be able to utilize quasi-experimental or other econometric techniques to determine causality among different initiatives (essentially, finding out β€œwhat works,” and what does not, especially around Sales & Marketing questions)
  • An attitude to β€œget stuff done” particularly around being actively involved with data cleaning and quality, building reports or answering important business questions (being a full-stack data professional)
  • Top-Tier communication skills in English, to distill complex mathematical models, concepts and findings into simple, intuitive words and charts for senior commercial leaders
  • Initially focusing on developing and maintaining KPIs and dashboards with the rest of the team, to monitor metrics and uncover insights as the primary responsibility for the first ~3-6 months (also to understand the business effectively)
  • Liaising productively with Data Analysts, Analytics Engineers and the business teams/owners to ensure that data products, analysis & statistical models built are not only technically sound but highly effective and widely useful
  • Building predictive models around different business areas and problems within Revenue Analytics : Lead Scoring, Marketing Attribution, Customer Churn Prediction, Optimizing Sales Processes, Building Books of Business
  • Maintaining the data pipelines and statistical models, and also continuously calibrate existing models to account for changing business conditions and/or customer behaviour
  • Using causal inference and quasi-experimental techniques to dig into historical & current data to statistically identify which initiatives worked and what was the lift they produced
  • Owning important business questions analytically and technically, creating new knowledge as well as raising the standards for advanced analytics work.

PythonSQLData AnalysisETLMachine LearningSalesforceSnowflakeData visualization

Posted 14 days ago
Apply
Apply
πŸ”₯ Data Analyst
Posted 14 days ago

πŸ“ Europe or remote +/- 4 hours CEST time

🧭 Fulltime

πŸ” DeFi, Ethereum ecosystem

🏒 Company: CoW DAO

  • Strong analytical thinker with attention to detail.
  • Independent and curious about uncovering insights.
  • Ability to synthesize quantitative and qualitative information for strategic decisions.
  • Effective communicator with both technical and non-technical audiences.
  • Eagerness to learn new tools and techniques in a rapidly changing environment.
  • Proficiency in SQL for data querying and manipulation.
  • Familiarity with scripting languages like Python for advanced analytics.
  • Experience with data visualization tools and spreadsheets.
  • Gather and transform data from diverse sources to create insightful dashboards, reports, and visualizations.
  • Work closely with product, marketing, BD, and other teams to define and track metrics, KPIs, and success criteria for our initiatives.
  • Use analytical and statistical methods to address challenges and validate ideas through experiments.
  • Identify product performance trends, opportunities, and potential risks to guide the roadmap.
  • Present findings and recommendations to a range of stakeholders.
  • Refine analytical frameworks and collaborate with data engineers.
  • Stay engaged with the Ethereum and Web3 ecosystem.

PythonSQLGoogle AnalyticsData visualizationA/B testing

Posted 14 days ago
Apply
Apply

πŸ“ EMEA

🧭 Full-Time

πŸ’Έ 40900.0 - 92050.0 USD per year

🏒 Company: RemoteπŸ‘₯ 1001-5000πŸ’° $300,000,000 Series C almost 3 years agoπŸ«‚ Last layoff over 2 years agoHuman Resources Services

  • Experience in data science / advanced analytics / statistical modelling experience, ideally within Sales/Marketing/Finance.
  • Working knowledge of machine learning algorithms, particularly supervised learning with Python.
  • Strong proficiency in SQL (in Snowflake) to manipulate data.
  • Ability to craft precise analytical questions and engage in data cleaning and quality.
  • Understanding of causal inference methods and econometric techniques.
  • Top-tier communication skills in English to distill complex concepts for senior leaders.
  • Initially focusing on developing and maintaining KPIs and dashboards with the rest of the team.
  • Liaising productively with Data Analysts, Analytics Engineers and business teams to ensure effective data products.
  • Building predictive models around various business problems within Revenue Analytics.
  • Maintaining data pipelines and models, calibrating them for changing conditions.
  • Using causal inference techniques to identify successful initiatives.
  • Owning important business questions and advancing analytics standards.

PythonSQLData AnalysisData MiningMachine LearningData science

Posted 15 days ago
Apply
Apply
πŸ”₯ Data Analyst
Posted 3 months ago

πŸ“ Poland, Philippines, Ukraine, Argentina

πŸ” Advertising

🏒 Company: Client AcceleratorsπŸ‘₯ 11-50Digital MarketingAdvertisingSEOSocial Media MarketingE-CommerceBrand MarketingCopywriting

  • Intellectual curiosity and analytical thinking.
  • Ability to work directly with CEOs and leadership.
  • Strong communication skills for cross-department interactions.
  • Experience in data analysis and familiarity with various departments.
  • Collect, analyze, and interpret large datasets from multiple departments (Finance, Operations, Sales, Marketing, and Creative) to drive decision-making.
  • Design reports to track financial and operational metrics.
  • Create analyses using disparate data sources.
  • Translate analysis results into presentation materials.
  • Provide input for strategic decisions through modeling and analysis.
  • Proactively identify opportunities and recommend solutions.
  • Regular reporting and analysis on key sales and marketing metrics.
  • Assist in forecasting revenue growth and financial planning.

LeadershipSQLData AnalysisCross-functional Team LeadershipOperations ManagementTableauStrategyStrategic ManagementCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationReporting

Posted 3 months ago
Apply
Apply

πŸ“ Europe

🧭 Full-Time

πŸ” Digital healthcare

  • Bachelor's degree in Economics, Statistics, Econometrics or a related field.
  • Demonstrable experience in using SQL to derive actionable insights.
  • Knowledge of Python/R and willingness to expand knowledge.
  • Experience with statistical modeling and descriptive statistics.
  • Ability to gather, organize, analyze, and report large volumes of financial data.
  • Strong attention to detail and high-quality work efficiency.
  • Strong analytical and problem-solving skills.
  • Experience in partnership with internal stakeholders.
  • Track key financial metrics and KPIs.
  • Develop and maintain comprehensive financial dashboards using advanced BI tools.
  • Provide insights into financial performance and trends.
  • Ensure accurate and timely collection of financial data.
  • Analyze profitability and cost efficiency.
  • Support audits and regulatory documentation.
  • Automate repetitive financial tasks to improve efficiency.
  • Utilize BI tools for dynamic reports and dashboards.

SQLBusiness IntelligenceOracleTableauCommunication SkillsAccountingAttention to detailDocumentationComplianceFinancial analysis

Posted 3 months ago
Apply
Apply
πŸ”₯ Data Analyst
Posted 4 months ago

πŸ“ US, Canada, Europe

🧭 Full-Time

πŸ’Έ 140000 - 160000 USD per year

πŸ” AI and machine learning

🏒 Company: RunPod, Inc.

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus.
  • At least three years of experience in a data analytics role, preferably with user and machine data exposure.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
  • Experience with data visualization tools (e.g., Mode, Tableau, or Power BI).
  • Experience with data warehousing platforms (e.g., Snowflake, Athena, or Redshift).
  • Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights.
  • Strong problem-solving skills.
  • Successful completion of a background check.
  • Analyze large, complex datasets to extract actionable insights about users, product performance, and operational efficiency.
  • Work closely with cross-functional teams, including engineering, marketing, operations, and sales, to support data-driven decision-making.
  • Develop and implement data collection systems and strategies that optimize statistical efficiency and data quality.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Prepare reports and dashboards that use relevant data to communicate trends, patterns, and predictions.
  • Collaborate with engineering teams to enhance data collection and analysis processes.
  • Present findings and recommendations to stakeholders and executive leadership clearly and compellingly.
  • Stay abreast of industry trends and best practices in data analysis and data science.

PythonSQLData AnalysisSnowflakeTableauData scienceCommunication SkillsAnalytical SkillsCollaborationData visualization

Posted 4 months ago
Apply