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Research Data - Analyst / Sr Analyst

Research Data - Analyst / Sr Analyst

ISG

2 - 3 years

3 - 7 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

computer science data analysis analytical machine learning data quality data communication macros sql data extraction python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Conduct a comprehensive analysis of the responses received from providers, examining each question, and proposing any necessary question deletions. (no. of questions attempted by the service providers, most answered/unanswered questions)
Identify any notable insights or trends discovered during the analysis and communicate them to the Lead Analyst.
Track the survey daily and provide updates to the project team.
Analyze the data and generate all possible insights from complex datasets.
Conduct a Quantitative data analysis and build a Dashboard either Power BI or Excel.

Here are the common requirements for a Data Analyst role, including a focus on databases:

Educational Background:

A bachelors degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, Business, or a related discipline. Masters degree or higher is preferred.

Technical Skills:

Data Analysis with Python: Proficiency in using Python for data manipulation, cleaning, and analysis. Familiarity with libraries like pandas, numpy, and scipy for data handling.
Excel Proficiency: Strong skills in Excel, including functions, formulas, pivot tables, data visualization, and basic macros.
Data Visualization: Ability to create clear and informative visualizations using Python libraries like Matplotlib and Seaborn for enhanced data communication.
SQL: Basic knowledge of SQL for querying databases and extracting relevant data.

Data Handling:

Data Cleaning and Transformation: Ability to clean and preprocess raw data, handle missing values, and transform data into a usable format.
Data Extraction: Proficiency in extracting data from various sources, including databases, APIs, CSV files, and Excel spreadsheets.

Problem-Solving Skills:

Analytical Thinking: Capacity to analyze complex data sets, identify patterns, and draw meaningful insights to address business questions.
Critical Thinking: Ability to approach problems logically, formulate hypotheses, and develop data-driven solutions.

Communication Skills:

Data Reporting: Ability to present findings effectively through reports and visualizations that convey insights to both technical and non-technical stakeholders.
Data Storytelling: Skill in translating data findings into compelling narratives that drive decision-making.

Collaboration:

Teamwork: Ability to work collaboratively with cross-functional teams, including data engineers, business analysts, and stakeholders.

Tools and Technologies:

Proficiency in using Python for data analysis (pandas, numpy), data visualization (Matplotlib, Seaborn), and potentially Jupyter notebooks.
Strong Excel skills, including functions, formulas, pivot tables, charts, and data manipulation.
Hands-on experience with AI tools, especially Generative AI (e.g., GPT-5, Copilot, ChatGPT).
Ability to leverage GPT for tasks such as automating data documentation and reporting, generating code snippets or SQL queries, enhancing data quality checks and anomaly detection, and summarizing large datasets or reports.

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