Overview:
The Senior Data Analyst position will be responsible for supporting client and HUB operations with a variety of data and analytical services.
Responsibilities:
- Aggregate data into meaningful and impactful visual representations to be provided to client contacts at planned intervals and to fulfill ad hoc requests;
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Perform standard statistical analyses, present results, and develop thorough documentation of programming and results;
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Collaborate with members of the operations leadership teams to understand business requirements, trends and expectations for analysis;
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Collaborate with senior management on a strategic vision and roadmap for operational data solutions;
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Produce ad-hoc reports for various client requests;
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Partner with IT staff to validate data attributes and to assure consistent integration across several data sources;
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Build database queries and deliver reports and dashboards;
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Collaborate with marketing and business development teams as needed, to measure program effectiveness and track key performance indicators (KPIs);
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Manage projects and ensure deadlines are met and remain consistent with stakeholder expectations;
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Provide ongoing analytical and technical support of existing data sources, data integration, operational reports and dashboards;
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Monitor daily and weekly inbound and outbound data feed exchanges to ensure on time delivery and complete and accurate data; and
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Diagnose inbound/outbound file issues through a documented quality control process.
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100% remote work allowed.
Qualifications:
- Requires a Bachelor’s degree (or foreign equivalent) in Information Technology & Management, Electronics & Communication Engineering, or a related field;
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2 years of experience as a BI Analyst, Systems Engineer, or a related occupation;
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Experience with creating and fine-tuning SQL transactional queries with CTEs;
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Experience with analyzing, engineering, and refactoring frequent data-fetching SQL queries;
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Experience with coding in SQL, Python and basic Machine Learning packages (e.g. Sci-Kit Learn);
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Experience with designing automated data flow processes;
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Experience with designing row level security with Power BI;
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Experience with building and designing interactive ad hoc reporting dashboards;
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Experience with developing test plans, use cases, scenarios, and scripts; and
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Experience with performing interactive marketing analysis.