Manager, Data Analytics

TL;DR

Manager, Data Analytics (SQL/Python/Power BI): Ownership of end-to-end deliverables for interactions and events analytics, building dashboards and monthly/quarterly insights with an accent on scalable measurement, root-cause analysis, and automation of reporting. Focus on designing analytics solutions, improving inquiry-process friction metrics, and establishing webinar performance architecture using quantitative models and clear stakeholder communication.

Location: Stamford, CT

Salary: 98,000 USD - 133,000 USD

Company

hirify.global provides actionable business and technology insights to enterprise leaders.

What you will do

• Design, implement, and refine analytics solutions to measure and improve interactions performance (e.g., cycle time, due date achievement, fulfillment rate) and identify trends and opportunities.
• Develop end-to-end dashboards and monthly/quarterly insights packs, including root cause analyses, emerging trend identification, and highlighting areas of success and opportunity.
• Analyze and reduce friction in the end-to-end inquiry process (e.g., analyst availability, reschedules, time lost clarifying coverage).
• Establish architecture and measurement for webinar performance, defining KPIs and identifying bright spots.
• Automate dashboards, reports, and analyses to improve scalability and efficiency; execute iterative, incremental delivery.
• Coach a team of 2–3 members and collaborate with IT, Interactions Operations, Content Analytics, Data Engineering, Data Science, and Global Product Management.

Requirements

• 8+ years of progressive business experience in advanced business analytics, complex problem solving, and business strategy.
• Bachelor’s degree required; Master’s preferred (statistics, data science, mathematics, engineering, computer science, or operations research preferred).
• Strong technical understanding of data systems and ability to analyze and visualize data.
• Proficiency in statistical analysis and applying appropriate models/methodologies while avoiding bias.
• Programming and analytics tools: SQL, Python, and/or R; Power BI for data visualization.
• Ability to lead and coach teams; strong verbal and written communication for structured, compelling outputs.

Nice to have

• Ability to leverage AI tools (e.g., Copilot, Claude, ChatGPT, Gemini).

Culture & Benefits

• Hybrid work environment with flexibility to work virtually when productive and meet with colleagues in a community setting.
• Generous PTO and market-leading benefits.
• 401k match up to $7,200 per year and opportunity to purchase company stock at a discount.
• Annual bonus plan or role-based uncapped sales incentive plan (eligibility and specifics provided during hiring).

Hiring process

• Interviews and evaluation of analytical problem-solving, technical understanding, and stakeholder communication.
• Discussion of team leadership expectations and collaboration approach.