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Senior Data Analysis with 8+ years in Data Analysis & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A result driven Professional with 7+ years of progressively responsible in Data Analysis, Design Implementation and support of Business Intelligence. Experienced SAS Developer with a background in data analysis and programming. Proficiency in data validation, reporting and system development. Adept at delivering accurate, actionable insights and supporting data-driven decision-making. Ability to collaborate effectively with cross- functional teams to translate business requirements into robust technical solutions.
AKTU-Moradabad Institute of Technology
Bachelor of Technology · Computer Science
August 1, 2013 – June 30, 2017
K.C.M School
12th · Science
June 1, 2012 – May 31, 2013
K.C.M School
10th · Science
June 1, 2010 – May 31, 2011
Alstonia Consulting
Senior Software Engineer
July 1, 2024 – Present
India
B3 Intelligence private Ltd
Senior Data Analyst
April 1, 2018 – July 1, 2024
India
Cultural Fit Analysis
The candidate's experience across different companies (Alstonia Consulting, B3 Intelligence) and roles (Senior Software Engineer, Senior Data Analyst) indicates adaptability. Their involvement in client outsourcing calls and training junior team members suggests a collaborative and team-oriented mindset. The diverse set of technologies and tools used (SAS, Python, SQL, Power BI, VBA, ETL tools) points to a broad skill set and willingness to learn, which aligns well with dynamic work environments. The focus on data-driven decision-making and delivering actionable insights suggests a results-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, stakeholder engagement, and leadership potential through their experience in leading junior team members and translating business requirements. Their ability to automate reporting workflows and conduct data validation indicates a focus on efficiency and data quality. The mention of client appreciation for hard work and successful sprint delivery suggests a strong work ethic and commitment to project success.