Analytics Consultant

What We Offer

At Convverge, we are driven by technology, innovation, and the opportunity to work with amazing clients. We build business-level, web-based applications on Cloud platforms like Microsoft’s Power Platform, SharePoint and Azure that support a rich set of interactions among customers, employees and users like us. As software developers, designers and analysts, our work requires us to consider usability, design, business workflow, performance, as well as strong technical platform integrations. We are regional leaders in a growing cloud technology space.

About Our Team

• We passionately solve problems and commit to quality as the leading design principle.
• We scale ourselves through small, self-empowered and self-organizing teams.
• We focus on learning, at an organizational and personal level.
• We value a diverse team with a variety of experiences and educational backgrounds.

About the Role

As an Analytics Consultant, you will be responsible for the entire data lifecycle, from data engineering to visualization. You will analyze complex data sets, develop data-driven strategies, and provide insights that help our clients make informed business decisions. You will work closely with clients to understand their needs, design analytical models, and deliver impactful solutions.

Key Responsibilities

Data Engineering: Build, and maintain data pipelines to ensure efficient data collection, storage, and processing.

Data Analysis: Collect, clean, and analyze large data sets to identify trends, patterns, and insights.

Consulting: Collaborate with clients to understand their business objectives and provide tailored analytical solutions.

Visualization: Create interactive dashboards and visualizations to effectively communicate data insights using tools such as Power BI, Tableau, or similar.

Reporting: Create comprehensive reports and presentations to communicate findings and recommendations to stakeholders.

Tool Utilization: Utilize advanced analytics tools and programming languages (e.g., SQL, Python) to perform data analysis and visualization.

Project Delivery: Manage multiple projects simultaneously, ensuring timely delivery and high-quality results.

Training: Provide training and support to clients on data analytics tools and methodologies.

Qualifications and Experience

Technical Skills: Demonstrated experience with four or more of the following domains, with an emphasis on Microsoft’s data and analytics ecosystem:

• Data Integration: APIs, Web Scraping, IoT Devices, Databases, Microsoft Azure IoT Hub, or similar.
• Data Storage: SQL Databases, Data Warehouses (Fabric Warehouse, Amazon Redshift), Data Lakes (Fabric Lakehouse, Azure Data Lake Storage).
• Data Engineering: ETL/ELT Tools (Azure Data Factory, Fabric), Big Data Processing (Azure HDInsight, Azure Databricks, Apache Spark).
• Data Analysis: Programming Languages (SQL, Python, DAX), Notebooks (Fabric Notebooks, Azure Synapse, Databricks).  
• Data Visualization: Visualization Tools (Power BI, Tableau).
• Data Security: Encryption Tools (Azure Key Vault), Identity and Access Management (Azure Active Directory, IAM, RBAC).
• Cloud Computing: Cloud Platforms (Azure, Fabric, Databricks).

Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.

Communication: Excellent verbal and written communication skills, with the ability to present complex information clearly and concisely.

Interpersonal Skills: Strong interpersonal skills with the ability to work effectively in a team environment and build relationships with clients.

Attention to Detail: High level of attention to detail and accuracy in work.

Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Experience: Minimum of 3 years of experience in data engineering, data analysis, business intelligence, or a related field.

Nice to Have Qualifications

• Experience in IT consulting, working with clients in a variety of industries.
• Microsoft certifications in data analytics or related fields.
• Knowledge of machine learning and predictive modeling techniques.

Benefits

• Competitive salary and benefits package.
• Opportunity to join a growing dynamic team.
• Career advancement and professional development opportunities.
• Work with cutting-edge technologies and industry-leading clients.

What we Value

Our company leads with a values-based mindset. Our five core values are important to us and we expect that they are important to you too. We know the best career matches happen when your personal values align with ours, so take a minute to check out our values. (hint, hint.)

Application Process

Interested candidates should submit a resume and cover letter outlining their qualifications and experience related to the position. We look forward to reviewing your application and discussing how you can contribute to our team’s success.