Summary
Overview
Work history
Education
Skills
Certification
Timeline
Generic

Hareesh Maseedu

Leicester

Summary

Accomplished data analyst with extensive expertise in data analysis and reporting, utilising tools such as Power BI, Azure Synapse Analysis, and Cognos BI. Proficient in advanced Excel and complex SQL queries, predictive modelling, and machine learning algorithms. Demonstrates strong skills in database management, data integration, ETL processes, and operation of data warehouses. Adept at trend identification, root cause analysis, and unstructured data handling. Known for logical thinking, decision-making confidence, and resilience under pressure. Career goal: to leverage analytical skills to drive strategic decision-making and business growth.

Overview

10
10
years of professional experience
8
8
years of post-secondary education
1
1
Certification

Work history

Data analyst

Strabag UK Ltd
London
11.2023 - 09.2025
  • Prepared over 30 interactive Power BI dashboards, transforming raw data into actionable insights for stakeholders.
  • Constructed automated data pipelines using SQL, Power Query, and DAX, achieving 99.9% data accuracy.
  • Identified trends and patterns to uncover performance improvements and potential risk areas.
  • Wrote complex SQL queries to facilitate ETL processes for dashboard creation.
  • Crafted and enforced data governance guidelines, ensuring zero data breaches and compliance with regulations.
  • Facilitated Power BI training for more than 120 business users, increasing self-service analytics adoption by 40%.
  • Integrated data from three key sources into centralised Power BI model, enhancing visibility of business performance.
  • Collaborated with application owners to create data mapping documentation, identifying root causes of dashboard failures.
  • Leveraged Python programming skills to automate routine tasks, boosted productivity levels significantly.
  • Presented analytic findings in clear manner during team meetings, fostered informed decision making within organisation.
  • Analysed patterns in large volumes of data, provided key insights.
  • Utilised SQL to extract relevant information for reporting purposes.
  • Collected and analysed complex datasets for business strategy enhancement.
  • Collaborated cross-functionally to meet project deadlines, delivered consistent results.
  • Streamlined data processing with automation techniques.
  • Developed and implemented ETL processes and enforced adherence to established procedures.
  • Designed and deployed cloud-based solutions using Azure Data Factory, Azure SQL Database, and Azure Blob Storage for ETL and data warehousing.
  • Experienced in writing and optimizing SQL for large-scale data processing in BigQuery and Azure Synapse Analytics.

Business Intelligence Developer

NHS Supply Chain - SCCL
Nottingham
06.2022 - 08.2022
  • Optimized Power BI report performance by implementing data aggregation techniques, reducing report loading times by 30% and improving user experience for internal stakeholders.
  • Designed and deployed end-to-end ETL pipelines using Azure Data Factory, integrating data from on-prem SQL servers to Azure Data Lake Storage and transforming data for reporting in Azure Synapse.
  • Collected, analyzed, and interpreted data from multiple sources to support business decision-making.
  • Examined database containing 500,000+ records utilising SQL, pinpointing inconsistencies and rectifying data entry errors; this elevated overall accuracy of data by 40% and empowered reporting capabilities.
  • Engineered and maintained 10+ data pipelines within Microsoft Azure SQL Database, sourcing, transforming, and managing data for comprehensive Power BI reporting solutions used by sales team.
  • Streamlined report development lifecycle by implementing Agile methodology, reducing report delivery time by 40% and improving responsiveness to changing business requirements.
  • Built and managed end-to-end ETL pipelines using Python, SQL, and Databricks to automate data processing for SaaS platform, improving data accuracy and reducing manual effort by 40%.

Data Analyst

Fluent2 Ltd
London
04.2021 - 05.2022
  • Empowered management team with data-driven insights derived from Power BI, contributing to successful launch of two new product lines and 10% increase in overall revenue.
  • Designed and maintained robust ETL workflows using SSIS, integrating data from flat files, APIs, and on-premise databases into centralized SQL Server and Azure data warehouses.
  • Leveraged T-SQL to write stored procedures and views supporting data quality checks, feeding directly into SSRS reporting logic.
  • Built and deployed scalable OLAP cubes using SSAS to enable fast analytics and self-service BI across multiple departments.
  • Streamlined data pipeline performance and implemented error handling in SSIS, resulting in 40% improvement in data load times and increased pipeline reliability.
  • Created pixel-perfect, paginated reports using SSRS, delivering dynamic financial and operational dashboards to executive stakeholders.
  • Architected standardised data governance protocol using Power BI, resulting in 100% compliance with data accuracy standards and slashed report generation time by 15% for finance team.
  • Overhauled legacy Power BI reports with advanced DAX, empowering data-driven decisions across finance; achieved 'Data Quality Champion' award by leading successful data insights trainings for 5 junior employees.
  • Liaised end-to-end development of 10+ business intelligence projects using Power BI, from initial data discovery and estimation to deployment and post-implementation review, enhancing organisational decision-making.
  • Help develop, design and deliver regular and ad hoc reports and dashboards to visualise key metrics and insights for different departments.
  • Piloted clear Power BI documentation standards, influencing culture of transparency, supporting audit requests, and helping new team members onboard seamlessly in under 2 weeks.

Data Analyst

ATM
Leicester
07.2019 - 02.2021
  • Collaborated with organisational leaders to identify process improvement opportunities, implementing data-driven solutions and reducing manual reporting efforts by 40 hours per month.
  • Visualized operational trends using free Power BI dashboards that monitored production efficiency and defect rates to identify factors causing production bottlenecks; findings minimised delays across three processing units.
  • Drove process improvements by designing 30+ reusable Power BI templates, saving the project team 20+ hours per week and standardising reporting practices across the organisation, and aligning with candidate's requests.
  • Implemented a project to migrate 10+ legacy Cognos reports to Power BI, leveraging DAX and Power Query to modernise data visualisation and improve report performance by 20%.

System Engineer

IBM India Pvt Ltd
Hyderabad, India
05.2015 - 02.2018
  • Constructed 15+ interactive dashboards using Cognos BI, leveraging visualisations like pie, funnel, scatter, and column charts to present complex data insights, enhancing user comprehension by 40%.
  • Modelled Framework Manager metadata, using published packages from data sources that enabled self-service reporting, resulting in 25% decrease in ad-hoc data requests.
  • Designed SQL queries weekly to extract customer data from relational databases, supporting targeted marketing campaigns and improving lead conversion rates by 15%.
  • Engineered 12+ complex, multi-page reports via Report Studio, improving data accessibility for trend analysis and enabling stakeholders to make well-informed decisions; personally delivered 3 weekly reports.
  • Constructed 40+ SQL queries to rigorously test and validate data transformation logic within Cognos reports, resulting in a 15% reduction in data-related support tickets.

Education

Certificate of Higher Education - Data Analyst – Power BI

QA Ltd
01.2023 - 01.2025

MSC - Computing

De Montfort University
02.2018 - 07.2019

Bachelor’s - Computer science and engineering

Rajiv Gandhi University of Knowledge and Technologies
02.2010 - 07.2014

Skills

  • Data Analysis & Reporting: Power BI, Azure Synapse Analysis, Data Analysis, Trend Identification, Root Cause Analysis, Ad-hoc Reporting, Self-Service Analytics, Data Mining, Statistical Analysis, Predictive Modelling, Power BI Service, Cognos BI, Data Storytelling, Dashboard Design, Report Generation, Visual Analytics, Data Flows, Data Quality Assessment, Data Presentation, Query Optimisation
  • Advanced excel usage
  • Operation of data warehouses
  • Predictive analysis
  • R programming
  • Python programming
  • Logical thinking
  • Decision-Making confidence
  • Database management
  • Creative modelling
  • Resilience under pressure
  • Workload prioritisation
  • Debugging technique
  • Unstructured data handling
  • Machine learning algorithms
  • Jira, ServiceNow
  • Data Integration & ETL: MySQL, SQL, SSIS, SSRS, SSMS, Azure Data Factory, Azure SQL, Data Pipelines, Data Lake, Data Flows, Data Transformation, Data Migration, Advanced Excel, Data Backup, Data Recovery

Certification

QA Ltd - Advanced Data Analytics

Timeline

Data analyst

Strabag UK Ltd
11.2023 - 09.2025

Certificate of Higher Education - Data Analyst – Power BI

QA Ltd
01.2023 - 01.2025

Business Intelligence Developer

NHS Supply Chain - SCCL
06.2022 - 08.2022

Data Analyst

Fluent2 Ltd
04.2021 - 05.2022

Data Analyst

ATM
07.2019 - 02.2021

MSC - Computing

De Montfort University
02.2018 - 07.2019

System Engineer

IBM India Pvt Ltd
05.2015 - 02.2018

Bachelor’s - Computer science and engineering

Rajiv Gandhi University of Knowledge and Technologies
02.2010 - 07.2014

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Hareesh Maseedu