Power BI Analytics Engineer at Quisitive
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

24 Jul, 25

Salary

0.0

Posted On

24 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analytics, Analytics, Microsoft, Business Insights, Strategy, Interpersonal Skills

Industry

Information Technology/IT

Description

High performing team members, challenging projects and a great place to work! This is what you can expect if you join the Quisitive team. Founded in 2016, Quisitive is a global Microsoft services and solutions partner. We are a team of professionals with a strong reputation for successfully delivering award-winning Microsoft solutions, including being named Microsoft’s 2024 Analytics Partner of the Year. Our culture of continual learning and innovation ensures that we remain committed to Microsoft’s long-term strategy.
What do we attribute our award-winning success to? The people we hire, of course! Our team members join Quisitive for more than just a job. They come to Quisitive to contribute to something bigger than themselves – to be part of a high-performing culture, continue their infinite quest to learn, and deliver innovative and exciting solutions that impact our customers’ business. Our leaders continuously strive to provide the tools and resources that you need to do what you do best!
It is a very exciting time of growth on our Quisitive consulting team, and we are currently hiring a Power BI Analytics Engineer to join our Data & AI practice.

TECHNICAL CAPABILITIES:

  • 5+ years of Data analytics, Modelling, ETL, Processing, Dashboard and PBI front-end visualizations development
  • Power BI experience
  • Support of large-scale analytical platforms and the modern data warehouse
  • Ability to implement cloud-based data ingestion (ETL vs ELT) solutions
  • Experience with Azure SQL and cloud data solutions
  • Experience with Azure Synapse, Azure Data Lake, Delta Lake, and Lakehouse frameworks
  • Experience with Azure Data Factory
  • Designing automated processing, data validation, error checks and alerts
  • Data Visualization, Auditing and Data Mining
  • Semantic modelling and Kimball dimensional model

WHAT ELSE WOULD MAKE ME STAND OUT?

  • Experience with other reporting analytics platforms like Tableau
  • Experience with Microsoft Office 365 and cloud data solutions
  • Experience with big data technologies that can include the following: Azure Cosmos DB, Kubernetes Services, Azure ML, NoSQL, MongoDB, Cassandra, Couchbase etc.
  • Experience with streaming data frameworks like Spark Streaming or Kafka
  • Experience with Fabric
  • Databricks certification or experience
  • Microsoft certifications in database and business intelligence technologies
  • Experience with data science and machine learning, AI platforms tools and techniques
  • Experience with Snowflake, Amazon Redshift or Google BigQuery
  • Multidimensional and Tabular Cube design, development, performance tuning and troubleshooting
  • Familiarity with Scrum, DevOps and/or DataOps
    We are looking for curious initiative takers to join our team, so if you are passionate about being a leader and working with smart people that are committed to accomplishing great things, then apply today!
    Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.
Responsibilities

WHAT WILL MY ROLE BE?

As a Power BI Analytics Engineer, you will work with customers to identify opportunities and scenarios where Azure data analytics tools from Microsoft and others can benefit their business. The ideal candidate has experience in data analytics technologies (Fabric, Azure Data Lake, Databricks), relational services (Azure SQL), and ETL/ELT tools (Synapse Analytics and Data Factory. You will deliver projects utilizing strong business, technical and interpersonal skills. Responsibilities include:

  • Working with customers to analyze business goals and define technical and functional needs
  • Facilitating strategy sessions specific to data analytics, reporting use cases, strategy and analytics architecture design
  • Engineering data analytics solutions utilizing a defined technology stack to create business insights that are targeted, accurate, fast, and reliable.
Loading...