Job Description & responsibilities :
1. Data Collection & Data Management :
- Gather, clean, and preprocess data from various sources (databases, spreadsheets, APIs, etc.).
- Maintain and organize databases to ensure data is accessible and accurate.
2. Data Analysis :
Analyze large datasets to identify trends, patterns, and insights that can help with business decision-making.Use statistical tools and techniques to interpret data and generate actionable insights.Perform data validation to ensure data integrity.3. Data Visualization :
Create reports, dashboards, and visualizations (using tools like Excel, Tableau, Power BI, or Python libraries like Matplotlib / Seaborn).Present findings clearly to non-technical stakeholders in an easy-to-understand format.4. Reporting :
Prepare and present regular reports on business metrics and key performance indicators (KPIs).Monitor data trends and provide timely reports on business performance.5. Collaboration :
Work closely with different teams (marketing, finance, operations, etc.) to understand business objectives and data needs.Provide data-driven recommendations for improvements in business strategies.Preferred Candidate Profile :
1. Educational Qualifications :
A bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or Business Administration.Certifications in data analysis, statistics, or data science (e.g., Microsoft Power BI, Google Data Analytics, Tableau, etc.) are a plus.2. Technical Skills :
Proficient in Data Analysis Tools : Excel, SQL, R, Python (for analysis), and statistical software.Data Visualization : Knowledge of tools like Tableau, Power BI, or advanced Excel techniques for creating charts, graphs, and dashboards.Data Management : Understanding of databases (SQL, NoSQL) and ability to extract, clean, and manipulate data.3. Analytical & Statistical Skills :
Solid understanding of statistical methods and their application in data analysis.Ability to perform exploratory data analysis (EDA), hypothesis testing, and regression analysis.Comfort with interpreting and analyzing large and complex datasets.4. Problem-Solving & Critical Thinking :
Strong analytical mindset to uncover patterns and provide actionable insights.Ability to break down complex problems and analyze them systematically.Creative in finding ways to apply data to solve real business challenges.5. Communication & Presentation Skills :
Ability to communicate complex data findings to non-technical stakeholders in a simple and clear way.Experience in presenting reports and insights to business leaders and executives.Strong written and verbal communication skills.6. Attention to Detail :
High level of accuracy and attention to detail when working with data and generating reports.Ability to spot data inconsistencies, errors, or gaps.7. Teamwork & Collaboration :
Ability to work cross-functionally with different teams to gather requirements and deliver insights.Strong interpersonal skills and adaptability in a fast-paced, evolving business environment.(ref : hirist.tech)