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Sisense Jobs in Utah (NOW HIRING)

Embedding a third-party BI or analytics product in a host application Logi Symphony, MicroStrategy Embedded, Power BI Embedded, Tableau Embedding API, Looker, Sisense. The specific product doesn t ...

Sisense information

See Utah salary details

$12

$19

$57

How much do sisense jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for sisense in Utah is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $15.77 per hour, depending on experience, location, and employer.

What is a Sisense developer?

A Sisense developer is a professional who specializes in using the Sisense business intelligence (BI) platform to design, develop, and manage data analytics solutions. They are responsible for creating interactive dashboards, integrating various data sources, and building data models to help organizations make data-driven decisions. Sisense developers work closely with stakeholders to understand business requirements and translate them into insightful visualizations and reports. Their expertise spans data preparation, dashboard design, and optimizing performance within the Sisense environment.

What are the key skills and qualifications needed to thrive as a Sisense developer?

To thrive as a Sisense Developer, you need strong analytical skills, experience in business intelligence (BI), and a solid understanding of data modeling, often supported by a degree in computer science or a related field. Proficiency in Sisense BI platform, SQL, data integration tools, and dashboard/report creation is typically required, with Sisense certifications being highly valued. Strong problem-solving skills, attention to detail, and effective communication help in translating business requirements into actionable data insights. These skills ensure you can deliver accurate, impactful analytics that support data-driven decision-making within organizations.

What are some common challenges faced by Sisense developers when integrating data from multiple sources?

Sisense developers often encounter challenges when integrating data from various sources, such as differing data formats, inconsistent data quality, and synchronization issues. Handling large datasets can also impact dashboard performance and require optimization strategies. Collaborating closely with data engineers and business analysts is essential to ensure data accuracy and to create meaningful visualizations that support business decisions. Familiarity with Sisense's data modeling tools and best practices helps to streamline integration and maintain reliable analytics solutions.

What is the difference between Sisense vs Data Analyst?

AspectSisenseData Analyst
Primary RoleBusiness intelligence platform for data visualization and analyticsAnalyzing data to generate insights and support decision-making
Required SkillsData visualization, SQL, BI tools, data modelingData analysis, SQL, Excel, reporting skills
Work EnvironmentTech companies, data teams, BI departmentsVarious industries, corporate, finance, marketing
CertificationsNone mandatory, but BI certifications helpfulOften requires analytical or data certifications

While Sisense is a BI platform used to create dashboards and visualize data, Data Analysts focus on interpreting data and providing insights. Both roles require SQL and data skills, but Sisense professionals typically work with BI tools, whereas Data Analysts perform more manual analysis and reporting across industries.

What cities in Utah are hiring for Sisense jobs?

Cities in Utah with the most Sisense job openings:

Infographic showing various Sisense job openings in Utah as of August 2026, with employment types broken down into 3% Internship, 83% Full Time, 7% Part Time, and 7% Contract. Highlights an 56% Physical, 7% Hybrid, and 37% Remote job distribution, with an average salary of $39,854 per year, or $19.2 per hour.

.NET Full Stack Developer

Draper, UT • On-site

PeopleNTech
IT Services • 201 - 500 employees

Other

Posted 21 days ago


Job description

Must have skills: .Net Core, AI-enabled Application Development, Cloud development (Strong), React (Strong)

Required experience:

  • 7+ years building and reviewing production software.
  • React 18+ and TypeScript in strict mode, with real experience building reusable component libraries or SDKs not only application screens.
  • You know the difference: public API design, peer dependencies, versioning, and not breaking your consumers.
  • Solid CSS/SCSS, and an eye for building a component other teams will theme.

C# / .NET and Web API.

  • AWS: Lambda, API Gateway, DynamoDB, and infrastructure-as-code (CDK, Terraform, or SAM).
  • A testing discipline that holds up under a hard deadline Vitest / React Testing Library and xUnit / NUnit, or close equivalents.
  • We hold a high coverage bar and expect the tests to be worth the coverage.
  • Shipping to a fixed external deadline on a live, user-facing application, including feature-flagged rollout and rollback.
  • A track record of joining in-flight programs and being useful quickly. Scope and deliverables
  • Embedded analytics integration in the host application, including authentication and row-level security pass-through.
  • A versioned, documented React component library published to our internal registry, consumable by other product teams.
  • Supporting .NET Web API and AWS serverless services, defined in infrastructure-as-code.
  • Feature-flagged rollout with a tested rollback path, plus parity validation against the legacy platform.
  • Handoff documentation sufficient for our engineers to own the work after the engagement ends. What will set you apart
  • Embedding a third-party BI or analytics product in a host application Logi Symphony, MicroStrategy Embedded, Power BI Embedded, Tableau Embedding API, Looker, Sisense. The specific product doesn t matter, working around an embedded SDK s limits transfers directly.
  • Migrating users off a legacy platform, where the numbers must match the old system is the acceptance criterion.
  • Publishing internal npm packages semantic versioning, ESM packaging, type declarations, Artifactory or a similar private registry.
  • OIDC / Okta / JWT validation, and token exchange between services.
  • Data warehouse familiarity (Snowflake) and a working understanding of row-level security.
  • AI-assisted development workflows (Claude Code or similar).