Get Hired Faster With COMPANY_NAME!
Don't you ever think you landed here by any accident, You are here because you are searching for something bigger. You know what?
- A better Job
- A better Future
- A better Knowledge
- A better Paycheck
- A greater Path to walk on.
And COMPANY_NAME is here to give you exactly what you've been missing for so long. The reality is that most job seekers chase job postings, but successful job seekers attract job offers by chasing the accurate information. Therefore, that's the shift COMPANY_NAME is going to help you make. Here are the top 10 ideas to up-skill yourself, so lean in to begin:
1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process
COMPANY_NAME is a career-changing advantage that most seekers never get access to. Imagine...
- Instead of applying for job after job and still not getting any callbacks, you suddenly bump into a tool that can do the heavy lifting for you.
- Instead of wondering, "What do employers actually want?", you are getting insights straight from the employer's desk.
- Instead of hoping your resume gets noticed, it’s kept on the table of decision-makers who are hiring right now.
That's the difference COMPANY_NAME makes. Our tools will let you reach employers directly, which automatically speeds up your hiring process.
2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!
How does COMPANY_NAME make this possible?
On COMPANY_NAME, you get notified for roles aligned with your profile right from the start. When an employer posts a role that matches your qualifications and skills, you’ll know first. When you apply early, your chances of getting noticed and shortlisted increase by 20%.
COMPANY_NAME also offers direct employer responses—no more waiting for weeks. Here you engage with hiring managers who are actively looking for candidates.
When all these features combine in one place, you move from your first match to your first interview within days. And ultimately, from application to offer—all within 15 to 30 days!
3: The Type of Resume You Need to Get Priority Placement
With COMPANY_NAME, you don’t just need a resume—you need a strategy. A system that pushes your name to the right tables. We’ll show you exactly how the most successful candidates take initiative and get noticed.
4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME
The job market isn’t one-size-fits-all—and your career shouldn’t be either. COMPANY_NAME gives you access to a wide range of opportunities including full-time, part-time, and freelancing roles all in one place.
5: COMPANY_NAME Helps You Grow Your Career
COMPANY_NAME provides insights, tools, and role-matching that help you find the right direction, the right skills, and the opportunities aligned with your ambition.
6: The Easiest Way To Find A Job
COMPANY_NAME cuts the noise, the endless scrolling, and the confusion. With accurate matches, direct employer connection, and real-time updates, you get a clear and simple path from application to interview.
7: Find Roles That Offer Growth, Culture & Benefits
COMPANY_NAME helps you find roles where you grow, feel supported, and thrive—not just survive. With us, you discover opportunities that elevate your professional life.
8: Get Support With Resume, Interviews & Career Planning
COMPANY_NAME provides expert guidance on resumes, interviews, and planning so employers instantly recognize your strengths and value.
9: Your Future Starts Today
COMPANY_NAME gives you everything you need—tools, guidance, and opportunities—to step forward confidently and begin a new chapter where your potential is seen and supported.
10: Get Hired Within 15 to 30 Days With COMPANY_NAME
COMPANY_NAME follows a smart, strategic, and proven approach that gets your profile noticed faster and moves you toward interviews and offers within 15 to 30 days.
Data Analytics Business Analyst (Full-Time Remote)
The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Elicit and Document Analytics Requirements
- Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs
- Capture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows)
- Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomes
- Analyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields
- Conduct gap analysis to identify missing attributes or mismatches against reporting specifications
- Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics
Translate Requirements into Analytical Specifications
- Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations)
- Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable components
- Ensure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions
Plan and Execute Testing of Analytical Solutions
- Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models
- Support business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cycles
- Verify performance (e.g., query response time, model runtime) against agreed upon thresholds
Support Implementation and Ongoing Operations
- Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases
- Monitor initial production runs, perform data reconciliations, and address any discrepancies that arise
- Participate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement
Maintain Documentation and Knowledge Base
- Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to date
- Author and refresh end user guides, technical “how to” documents, and metadata catalogs in line with departmental standards
Communication and Collaboration
- Translate complex analytical concepts into clear language for both technical and non technical audiences
- Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations
- Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance
Continuous Improvement
- Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling
- Define and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracy
- Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction
Minimum Requirements
Education and Experience
Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science;
Or
Associate’s degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science;
Or
Bachelor’s degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.
Knowledge, Skills, & Abilities
- SQL (preferably T-SQL)
- Communication skills
- Data Visualization Tools
- Software Development Life Cycle (SDLC)
- Data Governance
- Documentation Tools and Platforms
Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$81,873-104,388/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
- Medical, Dental, Vision, Life, Long and Short-Term Disability
- Generous retirement savings plan
- Flexible work schedules including hybrid/remote options
- Paid time off including vacation, sick leave, holiday, management leave
- Dress flexibility
Education
Required- Technical/other training or better in Computer Science
- Associates or better in Information Technology
- Technical/other training or better in Business Administration
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights ( notice from the Department of Labor.
