Business Intelligence & Data Quality Manager at NEFCO Construction Supply LLC

East Hartford, Connecticut, United States -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Data Quality, SQL, Python, Data Governance, Data Remediation, Data Modeling, ETL, Analytics, Team Leadership, Stakeholder Management, Data Analytics, Data Cleansing, Data Dictionary, Dashboard Development, Data Literacy

Industry

Wholesale

Description

Description About the Role: We are looking for a rare blend: a strategic Business Intelligence leader who still loves rolling up their sleeves and fixing broken data at scale. This is not a “delegate-only” management position. You will jointly own the enterprise BI vision, roadmap, and team, while personally leading the most critical data cleanup and governance initiatives that are currently blocking trustworthy analytics. You’ll build and coach the team, but you’ll also be the go-to expert writing complex remediation SQL, defining enterprise data quality rules, and turning years of accumulated data debt into gold-standard assets. What You’ll Own BI Strategy & Leadership (25%) Assist BI Leadership define and drive the company-wide BI strategy and prioritized roadmap in close partnership with Finance, Pricing, Sales, Marketing, Product, and Executive leadership Assist in the selection, implementation, and continuous optimization of the BI stack (Power BI, Looker, Tableau, ThoughtSpot, Sigma, etc.) and cloud data platforms (Snowflake, BigQuery, Databricks, etc.) Oversee data modeling, semantic layers, ETL/ELT pipelines (dbt), governance frameworks, and self-service analytics enablement Regularly present insights, roadmap progress, and data health metrics to C-suite and Board members Team Leadership & Development (25%) Build, lead, and mentor a team of 4–8 BI analysts, analytics engineers, and data enrichment specialists (Note- this will take time. The intent is to crawl, walk, run) Recruit top talent, conduct 1:1s, set clear goals, and create individualized career development plans Cultivate a collaborative, high-trust, low-ego culture that prioritizes accuracy, ownership, and business impact Hands-on Data Quality & Remediation Leadership (35%) Personally own and execute the most complex, high-impact data cleanup and reconciliation initiatives Perform large-scale data cleansing across CRM, ERP, billing, marketing platforms, and log data Proactively identify and permanently resolve duplicates, missing values, legacy code mismatches, cross-system ID conflicts, orphaned records, and categorization drift Assist with design, implement, and enforce enterprise data quality rules, automated validation pipelines, and monitoring (using tools such as Great Expectations, Monte Carlo, dbt tests, Collibra DQ, etc.) Create and maintain the central data dictionary, business glossary, lineage documentation, and dataset quality tiers (“Trusted,” “In Remediation,” “Deprecated”) Help establish and champion data governance policies, ownership models, and quality standards Collaborate with business units to address root causes of poor data and deliver training on best practices Analytics Delivery & Enablement (15%) Partner with stakeholders across the organization to gather requirements, define KPIs, and translate business needs into actionable dashboards and reports Oversee the development and maintenance of high-quality, performant, user-friendly dashboards while enforcing visualization and design standards Drive self-service analytics adoption through certified datasets, data literacy programs, and guided analytics experiences Bridge traditional BI with advanced analytics by collaborating with data science teams to productionize and embed predictive models Monitor adoption and performance of BI assets; optimize queries, retire low-value reports, and continuously improve refresh times and cost efficiency Act as the primary advocate for data-driven decision making, delivering compelling presentations and updates to leadership Requirements Required Experience & Skills 4+ years in business intelligence, analytics engineering, or data management Deep hands-on expertise in at least one major BI tool Advanced SQL mastery (complex CTEs, window functions, dynamic un-pivoting, reconciliation queries) Strong Python for data manipulation (pandas, fuzzy matching, regex, record linkage) Proven track record shipping large-scale data remediation projects end-to-end Excellent stakeholder management and storytelling skills — you can explain a duplicate-key disaster to a CFO and get budget to fix it Proven ability to find creative solutions to complex problems Bachelor’s degree in Finance, Computer Science, Statistics, or equivalent practical experience. Preferred (but not required) Experience building and leading BI/analytics teams Experience implementing data governance and quality frameworks from scratch Exposure to pricing analytics, subscription metrics, or fintech/SaaS data Familiarity with tools such as Microsoft PowerBI, Fabric, Purview, and Azure Synapse. Relevant certifications (CDMP, DAMA, Looker LookML, dbt Analytics Engineering) Why This Role Is Special Most BI Manager roles become purely strategic after a few years. This one won’t. You’ll remain the most technically capable person on the team when it comes to fixing broken data — and you’ll use that credibility to set the standard for everyone else. You’ll get the rare chance to both build a high-performing team and personally deliver the clean, trusted datasets that make every dashboard, forecast, and AI project possible.

Responsibilities

The role involves leading the enterprise BI vision and personally executing critical data cleanup and governance initiatives. You will build and mentor a BI team while ensuring the delivery of high-quality analytics and data-driven decision-making.