Consultant, Business Intelligence

Sorry, this job was removed at 02:12 p.m. (UTC) on Tuesday, Oct 06, 2026
Hiring Remotely in USA
Remote
2K-5K Annually
Mid level
Software • Automation
The Role
Build and maintain interactive Power BI and Amazon QuickSight dashboards, gather business requirements, define KPIs, develop data models and calculated measures, validate data accuracy, and support governance through documentation in Atlan. The role also includes optimizing dashboard performance, migrating reports across AWS and Azure, partnering with data engineers, and training business users. Candidates need strong BI, SQL, data modeling, and executive stakeholder engagement experience.
Summary Generated by Built In

Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We’re a small but rapidly growing company, which means there’s lots of room for growth and learning opportunities abound! 

Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered.  We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table.  

Job Summary

We are seeking a data-driven consultant to support our team in a Business Intelligence (BI) Analyst capacity.

In this role you will bridge the gap between raw data and strategic business decisions. Your primary focus will be gathering deeply detailed business requirements to design, develop, and maintain high-quality dashboards. The ideal candidate has extensive hands-on experience building scalable reporting solutions using both Amazon QuickSight and Microsoft Power BI.

Key Responsibilities

Requirement Gathering & KPI Definition

  • Collaborate with cross-functional stakeholders to extract complex business requirements.
  • Translate vague business needs into detailed, technical data specifications.
  • Define clear, measurable Key Performance Indicators (KPIs) aligned with business goals.
  • Document data dictionaries, metric definitions, and source-to-target mappings.

Dashboard Development & Analytics

  • Design intuitive, interactive, and visually compelling dashboards in Power BI and QuickSight.
  • Build robust data models, calculated measures, and row-level security (RLS) features.
  • Optimize dashboard performance to ensure fast load times for end-users.
  • Migrate or replicate reports across AWS and Azure environments when necessary.

Data Governance & Collaboration

  • Validate data accuracy and consistency across all published reports.
  • Document dashboard metadata, metric definitions, and data lineage within Atlan to ensure unified data governance.
  • Train business users on how to navigate dashboards and interpret data insights.
  • Partner with data engineers to optimize underlying data structures and pipelines.

Required Qualifications

  • 3+ years of professional experience as a BI Analyst, Data Analyst, or similar role.
  • Proven track record of leading requirement-gathering workshops with executives.

Technical Skills

  • Power BI: Advanced knowledge of DAX, Power Query, and premium capacity management.
  • AWS QuickSight: Deep expertise in SPICE ingestion, calculated fields, and AWS ecosystems.
  • SQL: Strong ability to write complex queries, joins, and aggregations for data validation.
  • Data Modeling: Solid understanding of star schemas, snowflake schemas, and normalization.

Soft Skills

  • Analytical Mindset: Exceptional ability to dissect vague requests into structured logic.
  • Communication: Clear verbal and written skills to explain data to non-technical peers.
  • Detail-Oriented: Obsessive focus on data accuracy and formatting consistency.

Preferred Qualifications

  • Certifications in AWS (e.g., AWS Certified Data Analytics) or Microsoft (e.g., PL-300).
  • Experience with cloud data warehouses like Amazon Redshift, Snowflake, or Google BigQuery.

 

This is a part-time consulting opportunity requiring 20 hours per week and is not eligible for company-sponsored employee benefits. Compensation is expected to range from USD $2,000 to $5,000 per month and may be paid hourly or as a fixed monthly consulting fee, as agreed upon at the start of the engagement. Final compensation will be based on experience, scope of work, and location.

Base Salary
$2,000—$5,000 USD
Company Benefits*
  • Medical/dental/vision - 100% paid for employees, 50% paid for dependents
  • Life and disability - 100% paid for employees
  • 401K - 3% contribution, no employee contribution necessary 
  • Education and tuition reimbursement
  • Accident, critical illness, hospital indemnity benefits offered through our providers
  • Employee Assistance Program 
  • Legal assistance
  • Paid Time Off - up to 6 weeks per year 
  • Sick Leave - up to 2 weeks per year
  • Parental Leave - up to 12 weeks 

*Benefits listed in the job description apply to employees working in the United States. For international employees, Apiphani partners with an Employer of Record, Deel, and provides all statutory benefits required under local law; certain U.S.-specific programs (such as EAP, legal assistance, etc.) may not be available outside the United States. The specific benefits package will be outlined in the local employment agreement issued through Deel.

Skills Required

  • 3+ years of professional experience as a BI Analyst, Data Analyst, or similar role
  • Experience leading requirements-gathering workshops with executives
  • Advanced knowledge of Power BI, DAX, Power Query, and premium capacity management
  • Deep expertise in AWS QuickSight, SPICE ingestion, calculated fields, and AWS ecosystems
  • Strong ability to write complex SQL queries, joins, and aggregations for data validation
  • Understanding of star schemas, snowflake schemas, and normalization
  • Exceptional analytical, communication, and data accuracy skills
  • AWS or Microsoft certifications, such as AWS Certified Data Analytics or PL-300
  • Experience with cloud data warehouses such as Amazon Redshift, Snowflake, or Google BigQuery

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The Company
HQ: Boston, Massachusetts
32 Employees
Year Founded: 2018

What We Do

apiphani is technology enabled managed services company dedicated to minimizing the effort and risk associated with managing business critical applications. By integrating decades of industry experience with Deep Automation™ and machine learning we are able to drive extreme efficiency and reliability in support of our client's applications. With a rigorous devops culture at its core, apiphani ensures that our software is continually updated based upon direct feedback from our support teams, field consultants, and clients. We solve real world problems with truly innovative technology fronted by some of the best minds in the industry.

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