Data Analytics - Consultant II / Senior Consultant I
New
J
JobgetherData Analytics
Based in the United StatesFull-TimeMiddle
Salary70,100 - 121,475 USD per year
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Job Details
- Experience
- 1+ year (Consultant II), 3+ years (Senior Consultant I)
- Required Skills
- PythonSQLBusiness IntelligenceMicrosoft Power BIAzureData visualizationRData analytics
Requirements
- 1+ year (Consultant II) or 3+ years (Senior Consultant I) of experience in analytics, reporting, business intelligence, or a related discipline.
- Working knowledge of SQL for data querying and manipulation; strong SQL and advanced analytical capabilities expected at the senior level.
- Experience developing dashboards, reports, KPI solutions, or performance measurement tools using Power BI or a comparable visualization platform.
- Ability to identify meaningful trends and translate analytical findings into practical business recommendations.
- Strong written and verbal communication skills.
- Strong organization and prioritization skills, including the ability to manage multiple analytical assignments simultaneously.
- Ability to independently lead multiple analytics projects, frame ambiguous problems, and influence business decisions (Senior level).
- Bachelor’s degree in Business, Analytics, Finance, Statistics, Computer Science, or a related field (preferred).
- Experience in insurance, sales, distribution, or financial analytics (preferred).
- Familiarity with Microsoft Fabric, Azure, data lakehouse environments, Python, or R (preferred).
Responsibilities
- Analyze business questions and translate data into actionable insights, recommendations, and business-focused solutions.
- Compile, organize, query, and analyze large datasets from multiple sources to identify trends, risks, opportunities, and performance drivers.
- Develop and enhance Power BI dashboards, reports, KPI scorecards, and performance measurement tools.
- Use SQL to query, manipulate, and prepare analytics-ready datasets while applying appropriate data quality and governance practices.
- Monitor business performance and evaluate key initiatives using relevant metrics, reporting, and analytical techniques.
- Partner with stakeholders to understand business needs, clarify analytical questions, gather requirements, and identify opportunities for improvement.
- Present findings through clear visualizations, data storytelling, and recommendations tailored to both technical and non-technical audiences.
- Manage multiple analytics assignments while maintaining priorities, timelines, quality standards, and stakeholder expectations.
- Lead complex or ambiguous analytical initiatives, define analytical approaches, and influence strategic decisions (Senior level).
- Identify potential data quality, governance, and measurement risks.
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