Data Analyst Data Warehouse Analytics and BI | JobSetuu

Description

Job Overview

• Source: RemoteOK

Job Description

Who We Are

OWL Services is the premier sales, installation, program management and service provider to retail, commercial, fleet, aviation and marine, and emergency power generation companies across the U.S.

With 33 offices and distribution centers and more than 1,400 field service professionals, OWL delivers on a service platform that includes construction, compliance and testing, maintenance and repair, modernization and re-imaging, and EV charging solutions to keep businesses and people moving 24 hours a day, 7 days a week, 365 days a year.

OWL Services’ companies have received numerous awards over the years for exemplary customer service. Most recently it was the recipient of EVgo’s Deployment Excellence Award in its first-ever class of awardees in the National EV Charging Recognition Program.

Come join us! For more information visit OWLServices.com and follow us on LinkedIn .

The Role:

We are looking for a Data Analyst to join our Data Warehouse & BI team and help us expand the reach, depth, and operational impact of our modern data platform. This is a hands-on role focused on report development, model expansion, and the ongoing reliability of a production analytics stack that already drives company-wide reporting.

You will work closely with stakeholders across the business, including operations, finance, dispatch, inventory, vendor management, and others. You need to be an expert at building and maintaining these relationships. They will help give you the context and information needed to deliver reporting and insights that enhances how the business runs.

Our source systems are varied and disparate, with multiple ERPs, each carrying its own schema, conventions, and quirks. A core part of the job is reconciling those differences and producing a sanitized & harmonized view where the business can compare like-for-like across entities and source systems. If you enjoy untangling messy data and turning it into something trustworthy, then this is the place for you.

What You Will Do:

• Develop, maintain, and extend Power BI reports, dashboards, semantic models, and alerting across finance, operations, inventory, dispatch, and vendor management
• Write and optimize complex SQL against Snowflake to investigate data, build models, and answer business questions
• Build and refactor dbt models that standardize and harmonize data extracted from multiple ERPs into a unified, comparable schema
• Setup the data in scalable and consumable way to enable the organization to be most well suited humans and agents
• Reconcile disparate source-system definitions (chart of accounts, item masters, customer and vendor records, transaction types) so the business sees a true apples-to-apples view
• Partner with stakeholders across the business to elicit requirements, understand operational context, and translate business questions into reliable reporting
• Proactively surface findings, anomalies, and improvement opportunities discovered in the data
• Monitor Fivetran connectors, dbt runs, and Power BI refreshes; triage and resolve data quality and pipeline issues
• Respond to ad-hoc data requests that drive business decisions and initiatives
• Document data models, definitions, and report logic so knowledge is shared, not siloed
  
  

Required Qualifications:

• 2+ years of professional experience as a data analyst, analytics engineer, or BI developer
• Extremely strong SQL skills, including comfort with CTEs, window functions, indexing, stored procedures, performance tuning, and debugging complex joins across large datasets.
• Understanding of relational databases and scalable design.
• Extremely strong Power BI skills, including:
• DAX and data modeling
• Calculation groups
• Alerting and operational enablement, including integration with Power Apps
• Performance tuning, row-level security, and report design best practices
• Familiarity with cloud data warehouses (Snowflake or OneLake referred) and modern ELT patterns
• Strong written and verbal communication, with the interpersonal skills to build trust and productive working relationships with business stakeholders
• Self-directed and comfortable working remotely and driving work without daily oversight
• Forward-thinking mindset with demonstrated experience using AI tools to enhance and accelerate analytics work, including model development, DAX authoring, documentation, code review, and stakeholder communication
  
  

Compensation And Benefits

• 10 Paid Holidays
• Flexible Time Off
• 401(k) Company Match
• Health, Dental, and Vision Insurance
• HSA and FSA
• Disability & Occupational Accident Insurance
• Company-Paid Life Insurance Policy
• Employee Assistance Program (EAP)
• World-class paid training program for you to learn the skills for long term career success.

Expert Career Tips for Data Analyst Data Warehouse Analytics and BI Roles

To succeed in a competitive market as a Data Analyst Data Warehouse Analytics and BI , you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Data Analyst Data Warehouse Analytics and BI requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Data Analyst Data Warehouse Analytics and BI position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.