Nearform
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst at Nearform. Skills: Data analysis, Data visualisation, Statistical analysis, Cloud data platforms, Data modelling. Analysing complex datasets to generate actionable insights. Support business decision-making”
What You'll Achieve.
deliver measurable results; deliver enduring impact; build breakthrough products; modernise legacy systems; build secure, high-performance applications; solve real world problems; generate actionable insights; support business decision-making; improve operational and customer experience outcomes; identify trends, patterns, and opportunities for business improvement; communicate insights effectively to stakeholders; ensure data accuracy and consistency; support forecasting, experimentation, and data-driven decision-making; delivering actionable recommendations based on data findings; maintain reliable and accurate reporting; support analytics and reporting workflows; align reporting with business objectives; support successful project delivery and measurable business outcomes
Industry & Context.
solving the world’s most complex digital problems; problem-solving in an enterprise development setting
What They're Looking For.
Must Have
Significant experience delivering at Senior Data Analyst level, 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 in agile and cross-functional environments, Professional proficiency in English
Nice to Have
Experience working with data models and cloud data warehouses such as Snowflake, Knowledge of dbt and data transformation workflows, 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, Familiarity with data governance, security, and compliance best practices
What You'll Do.
Analysing complex datasets to generate actionable insights
Support business decision-making
Improve operational and customer experience outcomes
Communicate findings through reporting and visualisation
Analysing large and complex datasets to identify trends
and opportunities for business improvement
and data visualisations
Collaborating with product
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
Performing statistical analysis to support forecasting
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
Working with cloud-based data platforms and warehousing solutions
Supporting ETL and data transformation processes
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
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
How You'll Work.
Team & Collaboration
Work closely with cross-functional teams to interpret data, identify trends, and communicate findings through reporting and visualisation; Collaborating with product, engineering, operational, and clinical teams; Collaborating with stakeholders to prioritise analytical initiatives; Working closely with client teams and cross-functional partners; Experience collaborating with product, engineering, and business stakeholders; Experience working in agile and cross-functional environments; Excellent communication and collaboration skills
Communication Scope
Communicate findings through reporting and visualisation; Communicating complex analytical findings clearly to both technical and non-technical stakeholders; Professional proficiency in English; Excellent communication and collaboration skills
Full Job Description
Senior Data Analyst (Contract, Poland, Remote) This is a 6 month initial contract for candidates based in Poland. About Nearform Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart. As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. About the Senior Data Analyst role As a Senior Data Analyst your main responsibility will be analysing complex datasets to generate actionable insights, support business decision-making, and improve operational and customer experience outcomes. You will work closely with cross-functional teams to interpret data, identify trends, and communicate findings through reporting and visualisation. However, as you’ll likely work across a variety of projects, your responsibilities may also include: Analysing large and complex datasets to identify trends, patterns, and opportunities for business improvement. Creating dashboards, reports, and data visualisations using to
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