Company Overview

The organisation operates in the digital finance and technology sector, providing technology-enabled services to customers and businesses seeking reliable digital solutions. Its business environment requires a strong understanding of customer behaviour, commercial performance, market dynamics and operational efficiency.

The Business Intelligence & Strategic Analytics department supports data-informed decision-making by combining business performance data, market intelligence and analytical research. The team works with leadership, finance, product, marketing and operations to understand performance trends, evaluate emerging opportunities and identify areas requiring strategic attention.

The department aims to make complex information useful for decision-makers by developing reliable reporting processes, structured analytical models and clear business recommendations. Its work supports both day-to-day performance monitoring and longer-term planning, helping the organisation understand not only what is happening but also why it matters and what actions may be appropriate.

Role Summary

The Strategic Business Intelligence Analyst will transform business data and market information into actionable insights that support organisational planning, commercial performance and executive decision-making. The role combines business intelligence, quantitative analysis, performance reporting and strategic problem-solving.

The successful candidate will examine business performance across relevant functions, identify trends and deviations, develop analytical models and prepare recommendations for management. The analyst will also help improve reporting quality by standardising metrics, validating information sources and developing dashboards that provide stakeholders with a consistent view of business performance.

Beyond producing reports, the position requires the ability to investigate the underlying causes of performance changes and communicate their implications. This may involve analysing customer acquisition, product engagement, transaction activity, operational costs, revenue trends or other indicators relevant to the organisation’s business model.

Working remotely within Estonia, the analyst will collaborate with cross-functional stakeholders to define analytical requirements, maintain reliable reporting processes and support strategic decisions with clear, well-documented evidence.

Key Responsibilities

• Strategic performance analysis: Analyse commercial, operational and customer-related performance indicators to identify trends, emerging risks and opportunities for improvement.

• Business intelligence reporting: Develop, maintain and improve dashboards, management reports and analytical summaries that provide stakeholders with accurate and accessible performance information.

• Data extraction and transformation: Use SQL and relevant data tools to retrieve, combine, clean and structure information from approved business data sources.

• KPI development: Work with stakeholders to define, document and maintain key performance indicators that reflect business objectives and operational priorities.

• Trend and variance analysis: Investigate changes in revenue, customer acquisition, conversion, engagement, retention, service quality and operating costs, where these metrics are relevant to the business.

• Root-cause investigation: Examine significant performance deviations and determine which factors may explain the results. Distinguish confirmed findings from hypotheses requiring further investigation.

• Forecasting and scenario analysis: Support business forecasting by analysing historical trends, current performance and relevant assumptions. Develop alternative scenarios to assess potential outcomes under different conditions.

• Commercial intelligence: Evaluate market developments, competitor activity, customer trends and business opportunities to support planning and commercial decision-making.

• Customer and product analytics: Collaborate with product and marketing teams to assess customer behaviour, product adoption, campaign performance and the commercial impact of customer experience initiatives.

• Operational efficiency analysis: Identify bottlenecks, recurring inefficiencies and performance gaps across business processes. Quantify their potential impact and recommend areas for further investigation.

• Executive decision support: Prepare concise analytical presentations and decision briefs that communicate key findings, business implications and practical recommendations.

• Data quality assurance: Validate data sources, investigate inconsistencies and maintain documentation covering metric definitions, reporting logic and analytical assumptions.

• Analytical model development: Build and maintain reusable analytical models that support recurring business questions, performance comparisons and scenario evaluations.

• Cross-functional collaboration: Work with finance, strategy, operations, technology and commercial teams to understand business requirements and translate them into appropriate analytical solutions.

• Reporting automation: Identify opportunities to reduce manual reporting through automated data preparation, standardised dashboards and reusable analytical workflows.

• Strategic initiative tracking: Help evaluate the performance of business initiatives by establishing baselines, monitoring relevant metrics and assessing results against intended objectives.

• Research and recommendations: Investigate emerging business questions, present evidence-based findings and recommend additional analysis or practical actions where appropriate.

• Continuous improvement: Review existing analytical processes and recommend improvements to reporting consistency, data accessibility and the usefulness of business intelligence outputs.

Requirements and Qualifications

• Bachelor’s degree in Business Analytics, Statistics, Economics, Finance, Mathematics, Computer Science or a related field.

• Relevant professional experience in business intelligence, strategic analytics, commercial analysis, performance reporting or a comparable analytical position.

• Strong SQL skills, including the ability to query relational databases, join datasets and investigate data quality issues.

• Experience with business intelligence tools such as Power BI, Tableau, Looker or comparable reporting platforms.

• Strong spreadsheet skills and familiarity with structured data analysis, financial metrics and performance reporting.

• Understanding of descriptive statistics, trend analysis, variance analysis, forecasting and scenario modelling.

• Ability to translate business questions into analytical requirements and select appropriate methods to investigate them.

• Experience defining performance indicators and maintaining consistent metric definitions across reports.

• Strong problem-solving skills, attention to detail and the ability to investigate unexpected results systematically.

• Excellent written and verbal communication skills, including the ability to present technical findings to non-technical stakeholders.

• Familiarity with Python or another analytical programming language is an advantage.

• Experience working with fintech, payments, digital banking, SaaS or other data-intensive technology businesses is beneficial.

• Understanding of data governance, access controls, confidentiality and responsible handling of business and customer information.

• Ability to manage multiple analytical requests, prioritise deadlines and work independently in a remote environment.

• Professional English proficiency.

Benefits

• Remote working within Estonia, with opportunities to collaborate across analytical, commercial and operational functions.

• Opportunity to contribute directly to strategic planning and evidence-based business decisions.

• Exposure to business intelligence technologies, performance modelling and analytical problem-solving.

• Professional development through varied business analysis assignments and cross-functional projects.

• Opportunities to strengthen SQL, dashboard development, forecasting and executive reporting skills.

• A working environment that values analytical accuracy, curiosity, transparent reporting and continuous improvement.

• Collaboration with professionals across strategy, finance, product, technology and operations.

• The opportunity to develop a broad understanding of business performance in a technology-driven industry.

Application Instructions

Applicants should submit an up-to-date CV detailing their analytical experience, technical capabilities, reporting responsibilities and contributions to business decision-making.

Candidates are encouraged to describe projects in which they developed dashboards, investigated performance trends, automated reports or identified opportunities for business improvement. Where possible, include measurable outcomes, such as reduced reporting time, improved data quality or better visibility into key performance indicators.

A portfolio containing anonymised dashboards, analytical summaries or case studies may be included. Any examples should exclude confidential company data, personal information and proprietary material.

Shortlisted applicants may be invited to complete a practical analytical exercise involving data interpretation, KPI evaluation or the investigation of a business performance issue. Candidates should be prepared to explain their methodology, validate their assumptions and communicate recommendations in a clear, structured manner.

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