Business Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst in New York City (Hybrid, 6+ months) with a pay rate of $70-$80/hr. Key skills include Data Governance, SQL, Tableau, and Python. Requires 3-5 years of coding experience and financial industry knowledge.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
640
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πŸ—“οΈ - Date discovered
June 3, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#Scala #UAT (User Acceptance Testing) #Jira #Storytelling #Visualization #Data Analysis #SQL (Structured Query Language) #Data Science #Python #Data Governance #Data Quality #Tableau #Libraries #Jupyter
Role description
Please find the Job Position Details; Position: Business Data Analyst Location: New York City, NY (3 Days Onsite - Hybrid) Duration: 6+ Months (with possible extension) Pay Rate: $70-$80/hr. (Depending upon the experience) Must haves:- Data Governance, Data Metrics, Data Analytics - super important Tableau Reporting for creating dashboards data implementation, remediation and data quality issues handling exp. JIRA, SQL - must 3 to 5 years of coding exp. Python/Jupyter (Any one is fine as person needs to know coding) strong Advanced Excel exp. & PowerPoint too some basic knowledge of risk & control space or market risk including products exp. Such as fixed income/derivatives is a plus. Job Description: Business Analytics Analyst The role will be part of a core central data analytics project delivery team, charged with ensuring the timely execution of deliverables across multiple workstreams, whilst imparting their subject matter expertise and know-how of business analytics techniques and delivery. The candidate must be an individual experienced in data analytics, with both hands-on skill and with sufficient domain knowledge to be able to provide meaningful solutions that are functional and sustainable. Primary Responsibilities β€’ Support the Metrics and Data Controls Lead in the development of a best-in-class platform to provide meaningful insights into the causes of data quality issues so that remediation efforts can be focused to drive Risk Reduction β€’ Write data and feature specifications utilizing Control outputs and work with Technology partners to develop new analytics capabilities. β€’ Compile insightful, actionable analysis of trends against Data Quality Indicators to support decision making by senior management. β€’ Plan and co-ordinate UAT activities for new business analytics capabilities. β€’ Provide hands-on technical data support for the Price Risk Metrics and Control Analytics initiative. β€’ Identify Risks & Issues and proactively seek to resolve or escalate them in a timely and well-articulated manner. β€’ Have relevant industry experience within the Financial Industry, preferably within Business / Data Control Analytics β€’ Be self-starting with proven ability to hit the ground running. β€’ Handle complexity, ambiguity and a fast changing, often demanding work environment. β€’ Drive change to business practices by working effectively across a global organization. β€’ Demonstrate analytical skills with follow-up and problem-solving capability. Key Skills Required β€’ Excellent attention to detail when analyzing and documenting data and business requirements β€’ Understanding of the key data quality themes typically experienced at the touchpoints between processes in large complex technology environments. β€’ Ability to work off own initiative to identify opportunities for improvement and better data insight. β€’ Use of Python / Jupyter notebooks to analyze data. β€’ Use of SQL to analyze data. β€’ Good Tableau skills to support data analysis and develop storytelling through efficient visualizations. β€’ Background in using advanced Tableau reporting / analytics capabilities to support Control / Business Data Analytics β€’ Proficiency with Excel and PowerPoint. β€’ Excellent attention to detail along with problem solving and analytical skills. Key Skills Preferred β€’ Good understanding of Control points in Price Risk Front Office valuation processes and their interaction with Market Risk Management and Product Control. β€’ Strong business and data analysis skills β€’ Bachelors/University degree, Master’s degree preferred β€’ Exposure to python data science libraries (e.g., SciKit-Learn) a plus. β€’ Excellent oral and written communications skills; must be able to use language efficiently and succinctly to deliver targeted messaging to senior stakeholders.