BlackStone eIT is looking for a skilled Data Analyst & Visualization Specialist to join our team. In this role, you will analyze complex data sets and create compelling visualizations that facilitate data-driven decision making. You will work closely with business units to understand their analytical needs and transform data into actionable insights.
Responsibilities
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Collect, analyze, and interpret large datasets to identify trends and patterns.
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Develop clear and insightful visualizations and dashboards using tools such as Tableau, Power BI, or similar.
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Collaborate with stakeholders to gather requirements and deliver relevant data solutions.
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Perform data cleansing and ensure data quality.
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Generate regular and ad-hoc reports to support business initiatives.
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Communicate findings and insights effectively to both technical and non-technical audiences.
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Stay current with data analysis and visualization best practices and tools.
Data analysis: identifying trends, anomalies, and insights across operational data (finance, HR, procurement, research portfolio)
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Visualization design: defining the right chart, metric, or narrative for each audience — working with the Full Stack Engineer to implement dashboard views
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Figma mockups for new reporting surfaces — wireframes and visual specs before engineering build
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Ad hoc analysis: answering leadership questions that require digging into data (“why did procurement spend spike in Q3?”)
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KPI definition support: working with business owners to define meaningful, measurable KPIs
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Reporting cadence: automated or semi-automated generation of recurring status reports and summaries
Requirements
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Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
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5+ years of experience in data analysis and visualization.
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Proficiency in data visualization tools such as Tableau, Power BI, or equivalent.
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Strong skills in SQL for data querying and manipulation.
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Experience with statistical analysis and data modeling techniques.
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Ability to translate complex data into understandable insights through visual storytelling.
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Excellent problem-solving and critical thinking abilities.
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Strong communication and collaboration skills.
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Attention to detail and a passion for data accuracy.