Power BI & Data Insights Analyst — Hybrid (Finance)

Lenvi; Leeds; Hybrid; GBP 45,000 - 60,000; Full time

Benefits offered by this job

29 days annual leave

Up to 10% pension matching

Flexible benefits allowance

Health & wellbeing platform

Volunteering days

Learning & development opportunities

Value Bonus scheme

Job summary

Lenvi, a growing technology business in Leeds, is looking for a Data and Power BI Analyst to join the Finance team. You will turn complex financial and operational data into clear, actionable insight, developing meaningful reports and dashboards for stakeholders across the business.

Working in a hybrid role with three days per week in the Leeds head office, you will collaborate with Finance Business Partners, automate reporting processes, and support month-end activities while maintaining data

Qualifications

• Previous experience in a data analytics role.
• Strong experience developing reports and dashboards using Power BI.
• Advanced data analysis skills with the ability to produce actionable recommendations.
• Experience gathering stakeholder requirements and translating them into reporting solutions.
• Experience creating meaningful business insight and presenting findings clearly to non-technical audiences.
• Experience working with financial, operational or commercial datasets.
• Experience using SQL for data extraction and analysis.
• Knowledge of data visualisation best practice, including report design, user experience and data storytelling.
• Ability to identify trends, anomalies and opportunities through analysis.
• Clear written and verbal communication skills.
• Ability to explain technical concepts to non-technical stakeholders.
• Strong attention to detail and commitment to data accuracy.
• Experience working collaboratively across departments.
• A continuous improvement mindset and a proactive approach to improving reporting processes.

Responsibilities

• Develop and maintain Power BI dashboards and reporting solutions for business stakeholders.
• Analyse large datasets to identify trends, risks, opportunities and performance drivers.
• Produce regular management information and KPI reporting packs.
• Design and maintain scalable data models that support consistent reporting.
• Analyse and report on the delivery and outcomes of actions previously taken.
• Perform variance analysis against budgets, forecasts and prior periods.
• Provide ad hoc analysis to support strategic and operational decision-making.
• Monitor data quality, accuracy and completeness across reporting sources.
• Automate reporting processes to improve efficiency and reduce manual effort.
• Interpret financial and non-financial data and provide practical recommendations.
• Consolidate reporting outputs from multiple business systems and data sources.
• Support the development of KPI frameworks and performance measurement standards.
• Review existing reports to identify duplication, gaps and opportunities for standardisation.
• Support data security, access controls and reporting governance in line with internal standards.
• Identify process improvement opportunities through analysis and automation.
• Work collaboratively with Finance Business Partners and operational stakeholders.
• Support month-end reporting through analysis and reconciliation.
• Maintain documentation for reporting methodologies and data definitions.
• Provide ongoing support and training to report users where required.

Skills

Power BI

SQL

Data analytics

Stakeholder requirements

Data storytelling

Data accuracy

Tools

Power BI

SQL

Job description

Lenvi, a growing technology business in Leeds, is looking for a Data and Power BI Analyst to join the Finance team. You will turn complex financial and operational data into clear, actionable insight, developing meaningful reports and dashboards for stakeholders across the business.

Working in a hybrid role with three days per week in the Leeds head office, you will collaborate with Finance Business Partners, automate reporting processes, and support month-end activities while maintaining data