Data Analyst - Senior II

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Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity.

Grade - T5

What your main responsibilities are:

Under moderate supervision, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, and analysis to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. With moderate direction, creates solutions from initial concept to production. Communicates results to a broad range of audiences. Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. Mentors team members. Works in cross functional projects and programs. Routinely presents to management.

Job Description:

1. Conduct data analysis to extract actionable insights and drive decision-making.
2. Explore and visualize datasets to uncover patterns, trends, and anomalies.
3. Analyze historical data to identify trends and develop forecasts for future performance.
4. Investigate and identify root causes of issues or discrepancies in data.
5. Provide training and support to users on data analysis tools and techniques.
6. Communicate findings and insights through compelling data visualizations and narratives.
7. Support data-related projects by providing analytical expertise and insights.
8. Ensure data accuracy, completeness, and integrity through quality assurance processes.

What are we looking for :

Minimum Education
Bachelors degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance.

Minimum Experience
Five (5) years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics.

Knowledge, Skills and Abilities:
Proficiency in analytics software and applications. Good interpersonal skills. Good written and oral communication skills.

Fluency in English
Analytical Skills
Accuracy & Attention to Detail
Numerical Skills
Planning & Organizing Skills
Presentation Skills
Statistical Knowledge
Data Modelling and Visualization Skills
SQL, Python, ETL (Ab Initio, etc.)
Data visualization (Power BI, etc.)

Location: BOMHQ

Education: Bachelors degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Masters degree or PhD preferred.

Relevant work experience as in data analysis based on the following number of years:
Standard I: Two (2) years
Standard II: Three (3) years
Senior I: Four (4) years
Senior II: Five (5) years

Knowledge, Skills and Abilities
Fluency in English
Analytical Skills
Accuracy & Attention to Detail
Numerical Skills
Planning & Organizing Skills
Presentation Skills
Statistical Knowledge
Data Modeling and Visualization Skills