Data Analyst

Job Description:

Create analytic reports and dashboards using program data that demonstrate an initiatives performance and outcomes for the client

Respond to internal and external requests for aggregated data and statistics by querying and analyzing and its implementing partners captured program datasets to inform policy projects

Spearhead the data management of knowledge repository on a secured cloud server

Build processes/protocols for data quality assurance data collation data coding and analysis

Participate in the scoping discussions with the client and prepare a justified sample size for the assignment

Contribute to the inception phase of an evaluation by assisting the Assignment Managers and Report Writers in the development of Inception Report. This will include supporting in the development of an M&E Frameworks Evaluation Matrix (EM) and data collection tools; and prepare Data Analysis Plan (DAP) aligned with these tools

Prepare process and guidelines for infield data management and templates for data collation (tagging/labelling/nesting); and train the field teams on how to use them

Carry out Data Quality Assurance (DQA) of captured data

Consolidate all qualitative/quantitative/desk review data in the procured data management software and standardize it for analysis and reporting. This will include data interpretation; coding; input; cleaning; and synchronization

Use tools such as STATA SPSS R ECONO NVivo MaxQDA Atlas.ti and others for Qualitative and Quantitative Analysis

Build data visualizations and performance management dashboards Analyze data to work towards optimization of technology development and marketing data where required.

Use predictive modeling to increase and optimize customer experiences revenue generation and other business outcomes

Mine and analyze data from company databases to contribute to driving optimization and improvement of product development marketing techniques and business strategies

Assess the effectiveness and accuracy of new data sources and data gathering techniques

Develop custom data models and algorithms to apply to data sets

Ensure timely data submission by IPs and analysis on the data sets for improved programmatic decision making

Support the Senior Manager RMEL wherever required for the project Any other work related task assigned by the supervisor

What are we looking for:

Relevant Masters degree in statistics math computer science economics or any related field

Ideally 3 to 5 years of experience in analyzing complex data sets and building statistical models with an ability to analyze both qualitative and quantitative data

Proficiency in statistical tools/language like SPSS STATA SAS SQL Python and other relevant software will be preferred

Familiarity and experience with Power BI are preferred

Knowledge and experience of advanced statistical software and techniques and concepts (regression properties of distributions Ttests and proper usage etc.)

Experience in public health or working for a development/aid agency is a plus A drive to learn and master new technologies and techniques Highly organized and detail oriented.

Remote Work :

No