

Senior Data Designer / BI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Designer / BI Engineer in NYC (Hybrid) on a contract-to-hire basis. Requires 5+ years in data engineering/analysis, expertise in Power BI and Tableau, strong analytical skills, and proficiency in Python.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
640
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ποΈ - Date discovered
June 14, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York City Metropolitan Area
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π§ - Skills detailed
#SQL (Structured Query Language) #Flask #Data Analysis #Stories #Data Architecture #BI (Business Intelligence) #TypeScript #Data Governance #Storytelling #Python #Visualization #Data Design #Tableau #Strategy #Data Strategy #Data Engineering #Cloud #GCP (Google Cloud Platform) #R #Azure #JavaScript #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Data Catalog #Microsoft Power BI #Streamlit #Data Cleansing #Data Science
Role description
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Job Title: Senior Data Designer / BI Engineer
Location: NYC (Hybrid working)
Duration: Contract to hire
Summary
β’ This is Data Designer with a Power BI lens. This is hybrid role between being technical and analytical.
β’ Preferred skills are with Combination of BI, visual data, data scientist. Good at visual storytelling, craft business intelligence systems. Be on creative side.
Job Description
Senior Data Designer / BI Engineer
β’ Your role is to collaborate with multidisciplinary individuals and support the project lead on BI data strategy and implementation project.
β’ You will be responsible for gathering requirements from stakeholders, analyzing data (often via SQL, Excel, or BI tools like Tableau/Power BI), identifying the critical data and quality gaps required for the effective decision support and translating insights into reports, designing, and building dynamic data visualization in a form of a dashboard.
Responsibilities:
β’ Work closely with product strategists, data engineers, data architects, and other design disciplines to understand data requirements and design accurate and impactful data reporting systems.
β’ Analyze and document existing BI data system processes to identify opportunities for improvement.
β’ Translate vague business goals into clear analytical requirements and success criteria
β’ Craft data stories that highlight trends, anomalies, and actionable insights
β’ Build interactive dashboards and standardized reports using BI platforms (e.g., Tableau, Power BI, Custom using Streamlit/Flask)
β’ Apply best practices in layout, color theory, and chart selection to maximize readability and insight
β’ Identify and improve slow-running queries, dashboard load times, and data refresh processes
β’ Propose data standards and best practices.
β’ Stay current with emerging BI tools, visualization techniques, and data-design patterns
Qualifications:
Analytical skills
β’ Ability to quickly learn new industry or business domains and translate business strategy into analytics priorities
β’ Expert at breaking down ambiguous business questions into structured analytical approaches with attention to detail
β’ Skilled at weaving complex data findings into clear, impactful narratives for C-suite and non-technical stakeholders
β’ Comfortable presenting to executive audiences and facilitating data-driven decision workshops
β’ Ability to analyze complex data sets and translate findings into actionable insights.
β’ Deep understanding of data governance frameworks (data cataloguing, lineage, access controls)
β’ Excellent verbal/written communication skills, with the ability to succinctly articulate your work and its intent to your team and your client
β’ A unique point of view. You are trusted to question approaches, processes, and strategy to serve your team better.
Technical skills
β’ Proven experience (5+ years) in data engineering, data analysis, or a similar role.
β’ Expert in both Tableau and Power BI (at least 3+ years of experience)
β’ Able to create custom visuals (Stremlit, JavaScript/TypeScript + D3.js or R/Shiny) when off-the-shelf doesnβt suffice
β’ Proficient in Python for data cleansing and statistical analysis
β’ Experience with data warehousing and ETL (Extract, Transform, Load) processes. (desired)
β’ Working knowledge of data services on cloud infrastructure (AWS/Azure /GCP). (desired)