Why hirevault?
At hirevault, we are redefining the way transportation data fuels business decisions. As a leader in the logistics and supply‑chain intelligence space, hirevault combines cutting‑edge technology with deep industry expertise to help customers turn massive, messy data sets into clear, actionable insights. Our culture is built on curiosity, collaboration, and a relentless focus on delivering value to the people who move goods across the globe. Whether you are a seasoned data professional or an ambitious newcomer, hirevault offers a platform where your analytical talent can make a tangible impact from day one.
Role Snapshot
- Position: Remote Data Entry Analyst – Transportation Analytics
- Location: 100% Remote (U.S. based candidates preferred)
- Employment Type: Full‑time, Immediate start
- Compensation: Competitive salary plus performance‑based incentives
- Reporting To: Lead Business Intelligence Engineer, Transportation Analytics Squad
About the Team
The Transportation Analytics crew at hirevault is a high‑performing Business Intelligence (BI) group tasked with turning raw transportation data into strategic guidance for operations, finance, and product teams. We partner with carriers, freight managers, and logistics planners to surface trends, pinpoint bottlenecks, and recommend data‑driven actions that improve on‑time delivery, reduce costs, and enhance customer satisfaction. As a Data Entry Analyst, you will be at the heart of this data‑centric ecosystem, ensuring that the information feeding our dashboards and models is accurate, timely, and ready for deep analysis.
Key Responsibilities
- Data Consolidation & ETL Development: Design, build, and maintain robust ETL pipelines that pull data from multiple source systems (TMS, ERP, carrier feeds, IoT sensors) into clean, normalized tables ready for analysis.
- Data Quality Assurance: Perform rigorous data validation, reconcile discrepancies, and implement automated checks to guarantee data integrity across large, heterogeneous datasets.
- Dashboard Creation & Enhancement: Collaborate with UI/UX specialists to craft intuitive Tableau dashboards that visualize key performance indicators (KPIs) such as load utilization, transit time variance, and cost per mile.
- Ad‑hoc Analysis & Insight Generation: Respond quickly to stakeholder requests, conduct exploratory analyses, and translate findings into clear, actionable recommendations for Operations, Finance, and Product teams.
- Scripting & Automation: Leverage Python (or comparable scripting languages) to automate repetitive reporting tasks, generate alerts for outliers, and streamline data‑refresh cycles.
- Cross‑Functional Collaboration: Serve as a trusted data partner, meeting regularly with business owners to understand their needs, refine data definitions, and ensure alignment on reporting standards.
- Documentation & Knowledge Sharing: Produce comprehensive documentation of data pipelines, transformation logic, and dashboard specifications; mentor junior analysts and act as a subject‑matter expert within the BI community.
- Continuous Improvement: Stay abreast of emerging BI tools, data‑engineering best practices, and industry trends to propose enhancements that increase efficiency and analytical depth.
Essential Qualifications
- SQL Mastery (2‑4 years): Proven ability to write complex queries, join multiple tables, and optimize performance while preserving data integrity.
- Tableau Experience (1‑2 years): Demonstrated skill in building interactive, user‑friendly visualizations that convey business impact.
- Transportation or Supply‑Chain Background: Direct exposure to logistics, freight, or carrier operations is highly desirable.
- Analytical Mindset: Ability to diagnose root causes of operational problems and translate raw numbers into strategic insights.
- Communication Excellence: Strong written and verbal communication skills; comfortable presenting findings to both technical and non‑technical audiences.
- Collaboration Skills: Proven track record of working effectively across functional teams, building credibility, and influencing decisions.
Preferred Qualifications & Nice‑to‑Haves
- Advanced expertise with SQL and Tableau, including performance tuning and advanced calculations.
- Hands‑on experience with e‑commerce fulfillment, parcel‑service operations, or similar high‑volume logistics environments.
- Proficiency in Python, R, or other scripting languages for data manipulation and automation.
- Familiarity with data‑preparation tools such as KNIME, Alteryx, Tableau Prep, or similar platforms.
- Exposure to cloud data warehouses (Snowflake, BigQuery, Redshift) and modern data‑stack architectures.
- Experience with version control (Git) and collaborative development workflows.
Core Skills & Competencies
- Problem Solving: Ability to break down complex business challenges into manageable analytical tasks.
- Attention to Detail: Meticulous approach to data validation, ensuring that every figure is trustworthy.
- Time Management: Capacity to juggle multiple ad‑hoc requests while maintaining long‑term project timelines.
- Learning Agility: Eagerness to acquire new technical skills and stay current with evolving BI technologies.
- Customer‑Centric Focus: Understanding that data serves the broader goal of improving the end‑customer experience.
Compensation, Benefits & Perks
hirevault offers a market‑competitive salary package complemented by a performance‑based bonus structure. In addition to the base pay, you will enjoy a comprehensive benefits suite that includes:
- 401(k) plan with company match
- Health, dental, and vision insurance with multiple plan options
- Paid parental and maternity leave
- Generous paid time off (PTO) and flexible holiday policy
- Remote‑work stipend for home‑office setup
- Wellness allowance covering fitness memberships, virtual classes, and mental‑health resources
- Professional development budget for certifications, conferences, and online courses
- Employee stock purchase program (ESPP) and equity awards for long‑term contributors
- Recognition awards and quarterly incentive bonuses for outstanding performance
Career Growth & Learning Opportunities
At hirevault, your career trajectory is shaped by your ambition and the impact you deliver. As you master data entry, ETL design, and visualization, you can progress into senior analyst roles, lead data‑engineering projects, or transition into product‑management pathways within the transportation analytics domain. Our mentorship program pairs you with seasoned BI architects, while our internal learning portal offers on‑demand courses in advanced analytics, cloud platforms, and machine‑learning fundamentals.
Culture & Work Environment
We believe that great work stems from a supportive, inclusive, and innovative environment. hirevault’s remote‑first culture emphasizes:
- Flexibility: Choose your own working hours within a core collaboration window, enabling work‑life harmony.
- Inclusivity: A diverse team where every voice is heard, and equity is woven into hiring, promotion, and reward practices.
- Collaboration: Regular virtual coffee chats, cross‑team hackathons, and open‑door “Ask Me Anything” sessions with senior leadership.
- Transparency: Quarterly business reviews that share company performance, strategic direction, and individual contributions.
- Innovation: Dedicated “innovation sprints” where employees can prototype new data products or process improvements.
Application Process
If you are excited about turning raw transportation data into strategic gold and thrive in a remote, fast‑moving environment, we want to hear from you. To apply, click the button below, submit your updated resume, and include a brief cover letter highlighting a project where you transformed a complex data set into a clear business recommendation.
Take the Next Step
Don’t let a perfect match slip away because you don’t meet every single requirement. At hirevault, we value a growth mindset, curiosity, and a collaborative spirit above a flawless checklist. If you’re ready to grow your analytical career while helping shape the future of transportation logistics, apply now and become part of a team that celebrates data‑driven success every day.
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