HS
HF SinclairIntern, IT Data Analytics
Data Analytics & AI Intern at HF Sinclair collaborating on analytics and AI for business innovations. Supporting tasks involving data collection, analysis, and project management.
About the role
- Oversee project intake and demand, ensuring a steady pipeline of data and analytics projects.
- Ensure timely project execution by predicting and planning around roadblocks.
- Lead Data Analytics, Readiness, and Performance Insights teams (in-house and consultants), growing output and minimizing idle time.
- Handle project budget, ensuring fair pricing and accurate billing.
- Ensure client satisfaction.
- Optimize project cost and increase value by balancing internal and external resources.
- Evaluate project performance 6 months and 1 year after delivery, flagging underutilized projects.
- Find opportunities for data hacks, automation, and process streamlining to reduce delivery time.
- Manage consultant relationships including coordinating SOW terms, raising purchase orders, monitoring time sheets and aligning invoice amounts.
- Champion next-gen analytical approaches using CoPilot AI, LLM, APIs, etc.
- Develop hands-on knowledge of new tools like Microsoft Fabric, QuickBase, etc.
- Train the team on deploying next-gen tools and enhancing project management and interpersonal skills.
- Drive cross-functional collaboration to elevate data management and process insights. This includes Executive Sponsors from Enterprise and Segment teams, JJT and contractors Support the D&DA director in promoting services and identifying new partners within the supply chain.
- Assist in developing presentations and marketing materials for the team's services.
- Develop scalable digital products that optimize costs, processes, or cash flows.
- Collaborate with CDL teams to ensure relevant data is ingested and curated before projects commence.
- Remove data access roadblocks through collaboration with technology partners.
Requirements
- Bachelor's or equivalent degree in Data, IT, Engineering or Supply Chain is required.
- 10 years in project and performance management, including digital transformation, data visualization, and data management.
- Hands-on experience with technologies like Databricks, Python, SQL, VBA, Power BI, PowerApps, Power Automate, Alteryx, Tableau, Looker, MS Fabric, CoPilot Studio, GitHub Copilot, Domino, QuickBase, CoPilot.
- Strong digital product development experience in data automation, analytics, and intelligent automation.
- Familiarity with the company's digital systems and integrations.
- Expertise in End-to-End Supply Chain processes across Innovative Medicine and MedTech.
- Proven track record in leading large-scale projects with technology partners.
- Autonomous project leadership with complex, multifunctional considerations.
- Excellent communication skills, especially in creating PowerPoint presentations for senior leaders.
- Experience in developing and implementing processes and systems in a matrixed environment.
- Ability to create and operationalize vision/strategy with strong project management skills.
- Proven leadership and influencing skills.
- Superior analytical and diagnostic capabilities.
- Ability to manage multiple complex projects simultaneously.
- Curiosity and determination to explore new digital solutions using approved tools.
- Creative, proactive, with a strong focus on results.
- Agile/Scrum experience, including user story creation and backlog prioritization.
- Strong time management and problem-solving skills.
- Excellent presentation and storytelling abilities for broad audiences.
- Up to 10% travel is expected.
- Proficiency (oral & written) in English & Spanish is required.
Benefits
- medical, dental, vision, life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- up to 120 hours vacation per calendar year
- up to 40 hours sick time per calendar year
- holiday pay, including Floating Holidays – up to 13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
I&A Manager for Reckitt, leading Consumer Engagement and Business Insights through analytics. Collaborating with internal teams to enhance competitive advantage and actionable strategies.
CE
Cogna EducaçãoMid-level Data Analyst
Data Analyst for SOMOS Educação developing data models and insights for decision - making. Collaborating team efforts to enhance processes using Power BI and SQL analysis.
LC
Lobellia ConseilData Analyst
Consultant Data Analyst managing data transformation projects for various clients. Involved in needs analysis, solution design, and user support for dashboard creation.
BO
BOUSSIASData Analyst, Scientist
Data Analyst & Scientist driving data strategy for business outcomes in a dynamic data team. Contributing to data - driven decision - making and enhancing business intelligence capabilities.
CU
Civica USProduct Analytics Manager
Product Analytics Manager leading analytics for Civica, integrating data to improve public services. Oversee product analytics strategy and collaborate with product teams for evidence - based decisions.
CO
Capital OneSenior Data Analyst – Tech Operations
Data Analyst leveraging analytics and technical skills at Capital One to innovate and maintain data solutions. Partner with business for insights and manage data quality.
SG
S&P GlobalData Analyst
Data Analyst supporting data quality and client inquiries in asset management research. Collaborating globally to enhance data collection and analysis processes for S&P Global.
EI
Engaged HR Inc.Data Analyst, Digital Insights
Data Analyst for Tourism Richmond managing digital marketing data and analytics. Supporting teams with Google Analytics, reporting, and dashboard development in a hybrid work environment.
Senior Product Data Analyst defining metrics and insights for real estate products at Side. Collaborating with cross - functional teams to enhance product performance and data governance.