Director, Analytics Solutions - Stamford - Conair

    Conair
    Conair Stamford

    2 days ago

    Description

    Conair is a global leader in the design, manufacturing, and marketing of high-quality Culinary and Beauty products. With a portfolio of trusted brands such as Conair, Cuisinart, Waring and BaBylissPRO, Conair is committed to winning in the marketplace. Joining Conair's growing team offers the chance to shape the future of a globally recognized brand while driving innovation in a fast-paced, dynamic environment. You'll be at the forefront of expanding our digital presence, optimizing customer engagement, and making a direct impact on business growth.

    We are looking for a strategic and technically proficient Director of Analytics Solutions to lead the development and deployment of enterprise-wide analytics capabilities. This role will be instrumental in driving data-driven decision-making across the organization by implementing advanced analytics technology and solution.

    The ideal candidate will have a strong background in business intelligence, data architecture, and cross-functional collaboration within a consumer products environment.

    Key Responsibilities:

    • Lead the architecture/design, implementation, best practices, and optimization of analytics solutions using Power BI, Microsoft Fabric, SAP, and SAP BW.
    • Define data roadmaps, architecture vision, and adoption of emerging analytics technologies
    • Establish enterprise data architecture strategy, governance frameworks, and standards aligned with business goals.
    • Manage partners and vendor relationships - oversee the implementation of third-party analytics tools and services.
    • Provide leadership and mentorship to a team of full-stack analytics developers.
    • Develop and maintain scalable data models and dashboards to support business insights and strategic initiatives.
    • Collaborate with cross-functional teams across the organizations to understand analytics needs and deliver actionable insights.
    • Drive the integration of AI technologies to enhance predictive analytics and automation capabilities.
    • Ensure data governance, quality, and security across all analytics platforms.
    • Stay current with industry trends and emerging technologies to continuously improve analytics capabilities.

    Qualifications:

    • 10+ years of experience in analytics, business intelligence, or data management roles.
    • Proven track record leading multiple end-to-end implementations of Enterprise Data Warehouse (EDW), Data Lake/Lakehouse, and Business Intelligence (BI) solutions.
    • Must have strong hands-on, end-to-end implementation experience with Microsoft Fabric, Power BI, SQL Server, SSAS, and SSRS.
    • Expertise developing analytics solutions on Cloud Analytics platforms (Microsoft Fabric, Snowflake, AWS, GCP, etc.).
    • Experience implementing AI-driven analytics solutions.
    • Strong understanding of data architecture, ETL processes, and data visualization best practices.
    • Expert-level data modeling skills, including Star Schema and Third Normal Form (3NF) design.
    • Proven ability to handle structured, semi-structured, and unstructured data types (JSON, XML, EDI, etc.).
    • Skilled in diverse data ingestion methods — APIs, ODBC, JDBC, and custom connectors.
    • Comprehensive understanding of the EDW/BI development lifecycle, from requirements gathering to deployment and support structure.
    • Strong knowledge of Self-Service BI best practices and Agile BI development methodologies.
    • Proven ability to lead cross-functional projects and communicate complex data concepts to non-technical stakeholders.
    • Experience in consumer products or similar industry preferred.
    • Domain knowledge across Finance, Sales, Marketing, Logistics, and Supply Chain.
    • Strong data understanding of SAP functional modules (FI, SD, MM, PP, PM, IBP); familiarity with Manhattan data is a plus.
    • Experience integrating data from third‑party aggregators such as Nielsen and Circana.
    • Bachelor's degree in data science, Computer Science, Business Analytics, or related field; advanced degree preferred.
    • Working conditions are normal for an office environment.
    • Must be able to sit for extended periods of time.
    • Must be able to use a computer keyboard and view a monitor for extended periods of time.
    • This role requires Stamford, CT office on‑site presence Monday through Thursday, with the flexibility to work remotely from anywhere on Fridays.

    What we offer:

    • Generous Paid Time Off Programs
    • Life & Disability Insurance
    • FSA/HSA/Dependent Care FSA
    • 401k and company match
    • EAP & Employee Wellness Programs
    • Free breakfast and lunch in the Stamford office

    About Conair:


    Conair is a leading international designer, manufacturer, and marketer of branded personal care and small kitchen appliances, cookware, hairbrushes & accessories, cosmetic bags, and travel accessories.

    Conair has always been driven by a passion for innovation; it's part of the Company's DNA. Trendsetting products have been invented by Conair since its inception in 1959, keeping the Company always a step ahead of the competition. The company's domestic and international divisions offer a diversified mix of consumer and professional products sold in over 120 countries. The Family of Conair brands include CONAIR, Cuisinart, Cuisinart Outdoors, BaBylissPro, Scünci , TRAVELSMART by CONAIR, and Waring.

    Conair's passion for innovation gets stronger with each decade, as evidenced by the over 1,000 patents the Company has obtained worldwide. Today, Conair and its brands are names known throughout the world. Conair continues to introduce its brands to new and emerging markets, year after year. By the 1990s, most households in America owned at least one Conair product. Today many have more than one, and the Company's goal is to ensure that every household in the world eventually owns one of our products.

    At Conair, we inspire our customers with innovative high‑quality products and brands


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