Data Analyst/Scientist
$55 - $60 per hourswipejobs
This posting is intended for principals only! Headhunters and staffing professionals: we are not looking to utilize your services at this time. So please: no emails, messages or phone calls. Data Analyst/Scientist – Utility Analytics Pay: $55–$60 per hour, with potential up to $75/hour for candidates with highly relevant experience Job Type: Contract, approximately 1–2 years Location: New York, NY Remote possible ; EST time zone preferred Schedule: Standard business hours MUST HAVES: Advanced Metering Infrastructure Experience, Utility company experience, Power BI, Databricks....applicants without these can not be considered About the Role We are seeking an experienced Data Analyst/Scientist to support a Customer Analytics and Digital Products team within a large utility organization. This is a great opportunity for a data professional with hands-on utility and AMI (Advanced Metering Infrastructure) data experience who enjoys working with large datasets, identifying trends and data quality issues, and turning complex information into clear, actionable business insights. You will work closely with Product Owners, engineers, and business stakeholders to analyze utility customer data, support customer-facing digital products, and develop dashboards and reporting that help improve product performance and customer experience. Please note: Meaningful utility industry and AMI data experience is required for this position. Candidates without AMI/utility experience will not be considered. What You'll Do Analyze large, multi-source datasets, including AMI usage, customer billing, and digital engagement data Review and validate data extracts, dashboards, and reports for accuracy, anomalies, trends, and data quality issues Identify patterns, common themes, and opportunities within large data sets Build and maintain Power BI dashboards, reports, and data visualizations Support analytics for customer-facing digital products, including rate recommendation and bill comparison tools Analyze historical usage and billing data to support digital product functionality and improvements Track website and digital product engagement, including page views, clicks, and customer interactions Partner with Product Owners, engineers, and business SMEs on data integrations, testing, validation, and product improvements Translate complex analytical findings into clear business insights and recommendations Communicate findings and recommendations to both technical and non-technical stakeholders Manage multiple priorities while maintaining a high level of accuracy and attention to detail What We're Looking For: Required Qualifications Bachelor's degree 2+ years of professional data analysis experience Hands-on experience working with utility industry data and AMI (Advanced Metering Infrastructure) data Strong understanding of utility customer usage data Experience analyzing large data extracts/datasets and identifying trends, anomalies, patterns, and data quality issues Hands-on experience with Power BI for dashboards, reporting, and data visualization Experience working with large, multi-source datasets Experience with Databricks Strong analytical, problem-solving, and data validation skills Excellent attention to detail Strong written and verbal communication skills Ability to translate technical findings into clear business recommendations Ability to collaborate effectively with technical teams, Product Owners, and business stakeholders Nice to Have Customer Care & Billing (CC&B ) data or tools experience Google Analytics or digital engagement analytics experience Experience analyzing website activity, page views, clicks, and customer interactions Experience developing recurring reports and customer-facing analytics Experience supporting digital products or customer-facing technology Experience working in a regulated environment Why This Opportunity? Long-term contract opportunity of approximately 1–2 years Competitive hourly rate of $55–$60/hour , with potential up to $75/hour for highly relevant experience Opportunity to work on large-scale utility data and customer-facing digital products Work alongside Product, Engineering, and business teams Fast, streamlined interview process with one approximately 30-minute interview If you have strong utility and AMI data experience and enjoy turning complex data into actionable insights, we'd love to hear from you! Required Experience Utility Industry / Utility Data: 2+ years AMI Data: Required Data Analysis: 2+ years Power BI: Required Databricks: Required Large/Multi-Source Datasets: Required Corestaff powered by Swipejobs is a Women Owned company and an Equal Opportunity Employer. We believe we are best equipped to support our candidates and clients when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people. Please note that we are unable to sponsor applicants requiring work authorization or visas for the positions currently available. We kindly request that only candidates who already possess the legal right to work in the United States apply for consideration swipejobs
$200k - $300k
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$80 per hour
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$53k
...Haver Analytics, a database firm tracking macroeconomic and financial data located in Midtown Manhattan, is seeking energetic candidates with a Computer Science, Engineering or similar technical degree or equivalent skill set background to join our Automation team. This...Full timeWork at officeMonday to FridayFlexible hours3 days per week$120k - $130k
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$175k - $200k
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$350k
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