Offer summary

Qualifications:

5+ years of experience in data analytics, modeling, ETL, and dashboard development., Proficiency in Power BI and Azure data solutions including Azure SQL and Azure Data Lake., Strong communication skills and previous consulting experience are essential., Familiarity with cloud-based data ingestion and data visualization techniques..

Key responsabilities:

Analyze customer business goals and define technical needs for data analytics solutions.

Facilitate strategy sessions focused on reporting use cases and analytics architecture design.

Engineer data analytics solutions to provide accurate and reliable business insights.

Deliver projects utilizing strong business, technical, and interpersonal skills.

Job 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.

This role can be located anywhere in the United States.

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.

What’s required?

First and foremost, you should enjoy what you do and have a great attitude!
Ability to engage in customer settings and discern client business needs
Desire to work in a team environment and ability to work across organization functional boundaries
Excellent presentation, verbal and written communication, and time management skills
Previous consulting experience

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.

About Quisitive

With significant growth since 2016, Quisitive is rapidly achieving our vision of becoming the leading global Microsoft partner as we continue to expand across the United States, Canada and India. With a diversified delivery model that includes both nearshore and offshore capabilities, our team of Microsoft experts delivers cloud and artificial intelligence business solutions and services that ensure our customers achieve their digital transformation goals. In addition, Quisitive offers a portfolio of industry-focused solutions that address customer challenges in healthcare, manufacturing, state & local government and performance management.

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