Senior Manager, Data and Analytics

🕒 September 15

🏈 Ohio, Texas – Remote

🏈 Ohio – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GPRS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2001

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

GPRS is an AI-powered customer platform and software company that provides integrated marketing, sales, customer service, content, operations, and commerce tools alongside a free CRM. Its platform includes marketing automation, sales pipeline and email tools, help desk and service features, content management, an app marketplace, partner programs, onboarding and consulting services, and trust & safety/abuse-prevention workflows (including DMCA handling). GPRS targets startups, small businesses and enterprises to help them generate leads, automate workflows, scale support, create content, and unify customer data.

📋 Description

• Lead, mentor, and develop data analysts, data engineers, and AI engineers • Define quarterly and annual roadmaps for data, analytics, and AI initiatives • Prioritize team initiatives and align resources with organizational objectives • Establish standards for analytics development, data governance, documentation, testing, and deployment • Partner with executive leadership and business unit leaders to solve complex business problems • Translate ambiguous business questions into analytical investigations and actionable recommendations • Perform quantitative and qualitative analysis to identify operational, financial, customer, and market opportunities • Present findings and recommendations to senior leadership • Own KPI definitions, governance, and reporting standards • Build and maintain executive dashboards and operational reporting solutions • Develop forecasting, trend analysis, and predictive analytics capabilities • Guide enterprise data warehouse and lakehouse development • Oversee data pipeline design, ETL/ELT processes, data integration, and data quality initiatives • Design scalable data models supporting reporting, analytics, AI, and future growth • Partner with business and technology leaders to identify and prioritize AI opportunities • Lead conversational analytics, intelligent agents, automation, and AI-driven decision-support initiatives • Evaluate emerging technologies and define long-term analytics, data science, and AI roadmaps

🎯 Requirements

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, Economics, or a related field • 7+ years of experience in analytics, business intelligence, data engineering, data science, or related disciplines • 3+ years of experience leading teams, projects, or enterprise initiatives • Advanced proficiency in SQL and data analysis • Strong experience with Python or similar analytical programming languages • Experience designing and supporting data warehouses, lakehouses, and enterprise reporting environments • Experience developing executive dashboards and KPI frameworks • Strong understanding of ETL/ELT processes, data modeling, and data governance principles • Ability to communicate complex analytical concepts to technical and non-technical audiences • Ability to drive projects from problem definition through implementation and measurement • Master's degree and experience with Databricks, DBT, Azure, Snowflake, Fabric, semantic modeling, self-service analytics, AI, machine learning, or large language model initiatives are preferred

🏖️ Benefits

• Full medical, dental, and vision insurance with day-one coverage • 401k with company matching beginning on day one • Life, Short-Term, and Long-Term Disability at no cost to employees • Paid holidays • Paid time off • Leadership development training programs • Additional benefits supporting team member development