About skillspath
skillspath is a fast‑growing, technology‑driven organization that empowers businesses worldwide with data‑centric solutions. Our mission is to turn raw information into actionable insight, enabling smarter decisions across every industry we serve. As a remote‑first employer, skillspath embraces flexibility, diversity, and continuous learning, offering a collaborative environment where talent can thrive from any location in the United States.
Why This Role Matters
In today’s data‑rich landscape, the ability to collect, cleanse, and visualize information is a strategic advantage. As a Data Analyst – Entry Level at skillspath, you will be at the heart of that advantage. You’ll partner with technology, business, and analytics teams to build reliable data pipelines, ensure data integrity, and create compelling visual stories that drive business outcomes. This is a permanent, fully remote position that offers a clear pathway to senior analytics roles.
Key Responsibilities
- Reporting & Dashboard Development: Design, build, and maintain ad‑hoc and scheduled reports using Power BI and advanced Excel techniques. Translate business questions into intuitive dashboards that support data‑driven decision‑making.
- Data Quality Assurance: Create robust data‑quality rules, validation checks, and monitoring controls to guarantee accuracy, completeness, and accessibility of critical datasets.
- Data Pipeline Management: Develop, test, and operate new data ingestion pipelines from source systems into the Data Warehouse, ensuring seamless flow and minimal latency.
- Collaboration with Stakeholders: Work closely with Business Analysts, Product Owners, and IT partners to capture functional requirements, document specifications, and obtain sign‑offs for all deliverables.
- Data Modeling & Architecture: Contribute to scalable data models using star‑schema and other best‑practice designs, supporting both transactional and analytical workloads.
- Visualization Storytelling: Apply data‑visualization principles to craft clear, impactful Power BI reports that communicate insights to technical and non‑technical audiences alike.
- Process Automation: Identify opportunities to automate manual workflows, reducing error rates and freeing up time for higher‑value analysis.
- Data Exploration & Research: Investigate new data sources, perform exploratory analysis, and recommend enhancements that expand the analytical capabilities of skillspath.
- Issue Resolution & Governance: Diagnose data anomalies, resolve conflicts, and contribute to the Data Governance program by updating data dictionaries, policies, and standards.
- Performance Monitoring: Validate key metrics, provide feedback on data trends, and alert senior leaders to patterns that require strategic attention.
Essential Qualifications
- Minimum 2 years of hands‑on experience performing detailed data analysis in a professional setting.
- Demonstrated expertise with Power BI, including building dimensions, measures, filters, calculated fields, DAX queries, and interactive visualizations.
- Proficiency in SQL and the ability to write complex queries for data extraction and reporting.
- Experience with ETL tools such as SSIS, Power BI Dataflows, or comparable big‑data ingestion platforms.
- Solid understanding of data modeling concepts, especially star‑schema design, and the ability to apply them to real‑world scenarios.
- Familiarity with data‑quality frameworks and the capacity to develop validation rules that safeguard data integrity.
- Strong analytical mindset with the ability to interpret large datasets, uncover patterns, and translate findings into actionable recommendations.
- Excellent written and verbal communication skills, enabling clear documentation of requirements and effective collaboration with cross‑functional teams.
Preferred Qualifications & Nice‑to‑Have Skills
- Hands‑on experience with DAX, M‑Code, and advanced Power BI features such as row‑level security and custom visuals.
- Knowledge of SQL Server Management Studio (SSMS) and familiarity with database administration basics.
- Exposure to Smartsheet or similar project‑management tools for tracking deliverables and timelines.
- Background in statistical analysis or familiarity with tools like R or Python for deeper data exploration.
- Prior involvement in a Data Governance initiative, contributing to data dictionaries, policies, and compliance documentation.
- Experience working in a fully remote or distributed team environment, demonstrating self‑discipline and proactive communication.
Core Skills & Competencies
- Technical Acumen: Mastery of Power BI, SQL, ETL processes, and data modeling techniques.
- Problem‑Solving: Ability to diagnose data issues, propose remediation strategies, and implement solutions efficiently.
- Attention to Detail: Rigorous approach to data validation, ensuring that every dataset meets high‑quality standards.
- Business Insight: Understanding of how data supports business objectives, enabling you to align analytical work with strategic goals.
- Collaboration: Strong teamwork orientation, comfortable partnering with developers, analysts, and business leaders.
- Time Management: Proven track record of meeting deadlines, juggling multiple priorities, and delivering high‑quality work on schedule.
Career Growth & Learning Opportunities
skillspath invests heavily in the professional development of its people. As an entry‑level analyst, you will have access to:
- Mentorship from senior data scientists and BI architects.
- Structured learning paths covering advanced Power BI, Azure Data Factory, and machine‑learning fundamentals.
- Opportunities to lead small‑scale projects, gradually building a portfolio that can propel you toward senior analyst or data‑engineer roles.
- Cross‑functional rotations that expose you to product, marketing, and operations analytics, broadening your business perspective.
- Regular internal hackathons and data‑innovation challenges that encourage creative problem‑solving.
Work Environment & Culture at skillspath
Our remote‑first culture is built on trust, transparency, and empowerment. We celebrate diversity and encourage every team member to bring their authentic self to work. Key cultural pillars include:
- Flexibility: Choose the work hours and environment that best suit your productivity style.
- Collaboration: Virtual “watercooler” sessions, weekly team stand‑ups, and open‑door video calls keep communication fluid.
- Innovation: We allocate dedicated time each month for personal projects that can benefit the organization.
- Well‑Being: Comprehensive mental‑health resources, ergonomic home‑office stipends, and regular wellness webinars.
Compensation, Perks & Benefits
skillspath offers a competitive salary package aligned with market standards for entry‑level data professionals. In addition to base pay, you can expect:
- Performance‑based bonuses tied to project milestones and business impact.
- Health, dental, and vision insurance plans with generous employer contributions.
- Retirement savings options, including a 401(k) match.
- Paid time off, sick days, and holidays to support work‑life balance.
- Professional development budget for certifications, conferences, and online courses.
- Technology allowance for laptops, monitors, and home‑office accessories.
How to Apply
If you are passionate about turning raw data into strategic insight and thrive in a remote, collaborative environment, we want to hear from you. Join skillspath and become a key contributor to a data‑centric future.
Apply Now – Start Your Data Journey with skillspath!
Closing Statement
At skillspath, your analytical talent will be recognized, nurtured, and rewarded. Take the next step in your career, work with cutting‑edge tools, and help shape the data narrative that drives success for clients worldwide. Apply today and embark on a rewarding remote career that blends technical mastery with real‑world impact.
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