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Senior Data Analysis with 9+ years in Power BI & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 6+ years of experience analysing business data, creating Power BI dashboards, developing SQL queries, and delivering actionable insights through data visualisation and reporting. Experienced in data cleaning, data transformation, KPI reporting, and maintaining high levels of data quality. Proficient in Excel, SQL, Power BI, and Tableau, with hands-on experience in automating reports, analysing large datasets, and supporting business decision-making. Strong analytical and problem-solving skills with experience collaborating in remote and cross-functional environments.
UCD Professional Academy, Ireland
Data Analysis Certificate
August 1, 2025 – Present
Mumbai University, India
Master of Business Administration (Finance) · Finance
N/A – June 30, 2017
United Drug, Ireland
Warehouse Associate
August 1, 2025 – Present
Ireland
Magic Frame Ltd, Ireland
Retail Assistant & Cashier
September 1, 2024 – August 1, 2025
Ireland
Experian
Data Consultant
July 1, 2018 – April 1, 2024
India
HDB Financial Services
MIS Executive
February 1, 2017 – July 1, 2018
India
Cultural Fit Analysis
The candidate has a solid background in data analysis and business intelligence, which aligns well with a data-centric organizational culture. Their experience in diverse roles, from MIS Executive to Data Consultant, shows adaptability. However, the recent shift to non-technical roles (Warehouse Associate, Retail Assistant) might indicate a career transition or a gap in direct data analysis application, which could impact cultural fit for a purely technical senior role without further clarification. The MBA in Finance suggests a business-oriented mindset, which is beneficial for understanding business context in data analysis.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, as evidenced by their ability to identify and resolve data discrepancies and improve data quality. Their experience in collaborating with business stakeholders and working in Agile environments indicates good teamwork and adaptability. The descriptions of automating reports and improving efficiency suggest a proactive and results-oriented approach. However, recent roles as 'Warehouse Associate' and 'Retail Assistant & Cashier' are not directly aligned with a senior data analysis role, which might raise questions about current operational fit and recent skill application.