Nearform - Senior Data Analyst (Contract, Poland Remote)
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Requirements
• Strong SQL skills for data analysis and reporting. • Experience analysing complex datasets and identifying actionable insights. • Dashboarding and visualisation experience using Tableau, Power BI, or Looker. • Familiarity with statistical analysis and data interpretation. • Experience working with data models and cloud data warehouses such as Snowflake - highly desirable • Knowledge of dbt and data transformation workflows • Strong understanding of data quality and reporting best practices. • Experience collaborating with product, engineering, and business stakeholders. • Ability to translate data into clear business insights and recommendations. • Experience working in agile and cross-functional environments. • Professional proficiency in English. • Familiarity with data governance, security, and compliance best practices. • Excellent communication and collaboration skills. • Our Interview Process • Talent Call (30 mins via Zoom)An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. • Talent Call • Technical Assessment (1 hour via Zoom)A technical challenge with one of our trained interviewers. • Technical Assessment • Hiring Manager Interview (45 mins via Zoom)A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join. • Hiring Manager Interview • There may also be an additional interview with the client depending on the project • Ready to Join Us? • Ready to Join Us? • If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. • Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence. • If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.
Responsibilities
• Analysing large and complex datasets to identify trends, patterns, and opportunities for business improvement. • Creating dashboards, reports, and data visualisations using tools such as Tableau, Power BI, or Looker to communicate insights effectively to stakeholders. • Collaborating with product, engineering, operational, and clinical teams to define reporting requirements and ensure data accuracy and consistency. • Supporting the development and optimisation of data models and data warehouse structures to improve analytical performance and scalability. • Performing statistical analysis to support forecasting, experimentation, and data-driven decision-making. • Translating business questions into analytical frameworks and delivering actionable recommendations based on data findings. • Monitoring data quality and supporting governance processes to maintain reliable and accurate reporting. • Working with cloud-based data platforms and warehousing solutions such as Snowflake to support analytics and reporting workflows. • Supporting ETL and data transformation processes in collaboration with technical teams and data engineers. • Communicating complex analytical findings clearly to both technical and non-technical stakeholders. • Collaborating with stakeholders to prioritise analytical initiatives and align reporting with business objectives. • Assisting with documentation, reporting standards, and best practices for scalable analytics processes. • Working closely with client teams and cross-functional partners to support successful project delivery and measurable business outcomes.
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