On behalf of our client, we are hiring a Research Analyst to join their team on a 12 month contract. This role is responsible for reviewing these data sets to ensure compliant and equitable partner support in the government and elections space. This role requires a person who is detail-oriented, capable of analyzing and reviewing large data sets, collaborating and building relationships with the partner managers, data managers and auditors. Responsibilities: Oversee and manage the preparation, review, and maintenance our managed partner set (MPS) made up of country specific government and political data.
Partnering with regional partner managers to review the MPS books, provide recommendations based on the company policy and guidelines. Prepare manual lists based on desk research and workbooks of government and political data. Complete a QA process to review completeness and accuracy of completed workbooks. Leverage data & analytics skills to review data at scale. Upload data to CRM. Minimum Qualifications: 5-10 years of experience in data operations, or other relevant space leading large scale global projects or programs. Excellent communication skills, both written and verbal.
Ability to understand and simplify complex topics and explain to others in a way that is easy to digest. Experience analyzing and using data in solving and providing practical business insights, including reviewing and validating dashboards and reports, ensuring they accurately reflect key insights and metrics. Practical experience reading or querying SQL databases. Ability to use data analysis tools (e. g. , SQL, Python, Excel) to extract, manipulate, and interpret data for business insights and monitoring performance and integrity of data pipelines. Preferred Qualifications:
Knowledge of the government and elections space, including international politics, political parties, world leaders and national legislators. 2+ years in software engineering, systems engineering, or technical product/program management. 2+ years with scripting languages (e. g. , Python), and/or statistical/mathematical software (e. g. , R). Experience developing and maintaining data pipelines. Education: Bachelor’s degree in data analytics or government.
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