Senior Manager, Enterprise Analytics

Senior Manager, Business Analytics

Position at Conair LLC

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 includes CONAIR, Cuisinart, 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 iconic brands that enhance their lives.

Position Summary: The Senior Manager, Business Analytics will help build a new, high-impact analytics capability from the ground up—partnering with global commercial teams to translate messy data into clear insights, prioritized actions, and measurable business outcomes. This role will own the development and harmonization of key commercial metrics and dashboards (leading and lagging indicators), drive advanced analytics, and elevate decision-making through crisp visual storytelling. This position reports to the Director of Enterprise Analytics and will partner closely with Commercial leadership, FP&A, and an offshore analytics delivery team.

Key Responsibilities

• Serve as the analytics partner to global commercial leaders across Sales, Marketing, Category and Revenue Management.
• Translate ambiguous business questions into structured analyses, hypotheses and decision-ready recommendations.
• Identify growth, mix, pricing, promo, distribution, and margin opportunities using analytics and modeling.
• Analyze promotional strategies, including penetration and effectiveness, to help steer the organization to drive what is working and stop what is not.
• Lead product level pricing and margin assessments through elasticity and profitability analytics.

• Define, harmonize, and maintain "single source of truth" commercial KPIs (e.g., net sales, POS, share, distribution, price/promo, trade spend, margin, pipeline/forecast health).
• Build and continuously improve dashboards and self-serve reporting for executive and operating audiences.
• Establish KPI definitions, data lineage, and governance in partnership with Finance/IT/Data teams.

• Develop analytical models (e.g., segmentation, drivers, elasticity, promo effectiveness, marketing ROI, funnel conversion, forecast drivers).
• Lead root-cause analyses and "what changed / why" narratives; simplify complexity into the few insights that matter.
• Proactively surface risks/opportunities and recommend actions with clear financial impact.

• Manage an "endless funnel" of requests by establishing intake, triage, and prioritization processes with stakeholders.
• Partner with the offshore analytics team to scope work, define requirements, ensure quality, and accelerate delivery—while retaining accountability for outcomes.
• Document processes and create repeatable analytical assets that scale.

• Create executive-ready materials that tell a compelling story visually (dashboards, slides, one-pagers).
• Present insights with confidence; influence decisions across regions and functions.

Qualifications/Skills:

• 7+ years in analytics, commercial finance, insights, consulting, or data science roles (CPG preferred).
• Strong hands-on analytics background; ability to work directly with data.
• Proven experience with messy/fragmented data and legacy systems; strong data wrangling skills.
• Demonstrated ability to translate complex analysis into simple, actionable insights and visuals.
• BI tools (Power BI, Tableau, or similar) knowledge; strong data visualization and design instincts.
• Experience building dashboards and performance management metrics.

• Strong proficiency in SQL, Python, and / or R.
• Knowledgeable with ETL/data prep tools (e.g., Fabric, Alteryx, dbt, or similar) and cloud data platforms a plus.

• Bachelor's degree required (Analytics, Statistics, CS, Engineering, Economics, or similar).
• Advanced degree a plus.

• Self-starter who thrives in ambiguity; builds structure where none exists.
• Excellent stakeholder management
• Strong business acumen and curiosity; relentlessly focused on "so what / now what."
• High standards for accuracy, definitions, and repeatability (governance mindset).
• Team-oriented collaborator; effective in a hub-and-spoke model with offshore resources.

Environmental Factors:

• 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 on-site presence in our Stamford CT location.

What we offer:

• Comprehensive Medical/Dental/Vision plans
• Generous Paid Time Off Programs
• Life & Disability Insurance
• FSA/HSA/Dependent Care FSA
• Paid Parental Leave
• 401k and company match
• EAP & Employee Wellness Programs
• Volunteer Days Paid Time Off
• Free breakfast and lunch in the Stamford office