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Power Bi Data Analyst

Location:
Hyderabad, Telangana, India
Salary:
15000
Posted:
September 10, 2025

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Resume:

SYED ARSHAD HUSSAIN

DATA ANALYTS, Hyderabad, Telangana

+91-767******* ******************@*****.*** linkedin Portfolio Profile Summary

Analytical and detail-oriented Data Analyst with proven expertise in SQL, Python, and Power BI. Skilled in data extraction, cleaning, and governance, with hands-on experience in building automated data pipelines, dashboards, operations research and statistical models to uncover trends and drive business decisions. Adept at collaborating with cross-functional teams and senior stakeholders to deliver actionable insights aligned with business goals. Relevant Coursework

• Data Management

• Automation

• Business Intelligence

• Technical

Documentation

Experience

• Data Governance

• Stakeholder

Management

• Data Manipulation

• Business Analytics

• Generative AI

• Critical

Thinking Skills

• Data Mining

• Retail

Operations

• Requirement Gathering

• Business acumen

• Business operations

• Problem Solving

• Business Impact Analysis

Accenture – Data Analyst Intern Hyderabad, India Mar 2024 – Mar 2024

• Performed data variance analysis and debugged SQL queries, ensuring 100% accuracy in extraction from MySQL.

• Applied data cleaning and normalization techniques, improving data integrity and optimizing retrieval speed.

• Built and automated Power BI dashboards to visualize KPIs, enabling stakeholders to track performance in real-time.

• Conducted ad-hoc statistical analysis to support business decision-making and improve operational efficiency. Projects

Festive Campaign Analysis SQL, Power BI, PowerPoint Live Dashboard Apr 2025

• Analyzed transactional data from 50+ Southern Indian retail stores using SQL, identifying purchase trends during Diwali and Sankranti campaigns.

• Built an interactive Power BI dashboard that drove 110% increase in sales, boosting revenue within two campaigns.

• Provided actionable insights that informed future festive strategies, increasing campaign ROI, CRM and customer engagement. OTT MERGER ANALYSIS Excel, Power BI, Dax, Power Query, SQL Live Dashboard Jun 2025

• Designed and deployed a Power BI dashboard comparing LioCinema & Jotstar performance to support a strategic OTT merger valued in millions.

• Conducted ad-hoc deep analysis of subscriber growth, churn trends, and plan transitions across 5M+ users, segmented by city tier, age group, and device type.

• Delivered insights on content engagement, watch-time behavior, and genre preferences, guiding post-merger content strategy and improving retention by 18%.

AtliQ Finance Reports Excel, PivotTable, Dax GitHub Repository Dec 2024

• Built a 4-year Profit & Loss Report in Excel using Pivot Tables & DAX, enabling executives to track revenue and expenses effectively.

• Automated data cleaning with Power Query, VBA, saving 4+ hours weekly and reducing manual effort by 50%, improving report accuracy.

• Developed reusable DAX measures to enhance reporting efficiency, enabling real-time financial insights for faster decision-making. Technical Skills

• Data Management & Governance: Data extraction, cleaning, quality assurance, regulatory compliance

• Programming & Databases: SQL (MySQL, PostgreSQL), Python (Pandas, NumPy), R (basic), Data Warehousing

• Analytics & Modelling: Statistical analysis, predictive analytics, trend identification, data science, machine learning, large data sets, Profitability

• Visualization & Reporting: Power BI, Tableau, Advanced Excel, DAX, Power Query, Financial Systems

• Cloud & Tools: GitHub, Google Workspace, AWS (basic), Azure (basic), Data Engineering, Solve complex problems

• Soft Skills: Analytical thinking, stakeholder management, communication skills, problem-solving, attention to detail, focus on quality, Multitasking, customer focused Education

OSMANIA University Oct 2020 – Oct 2024

B.T ech, Computer Science – CGPA: 7.0 HYD, Telangana Extracurricular / Certifications

• Cisco Data Analytics – View Credentials

• Excel – View Credentials

• SQL – View Credentials

• Power BI – View Credentials



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