We are seeking a Data and Analytics Consultant to work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives.
Requirements
- Have experience understanding and solving real business problems
- Have experience with presenting business case and strategy to the C-Suite
- Bring industry domain knowledge for custom data and analytics strategies
- Experience in designing and implementing data driven products and services
- Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics
- Data Strategy and Governance
- Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
- Proven experience in transforming our clients from on-prem data platforms to the cloud.
- Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
- Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
- Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
- Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
- Identify data governance gaps and assess data governance maturity in a complex data environment.
- Data Architecture and Engineering
- Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
- Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
- Ability to design and build complex data pipelines that either stream data in
- Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
- Experience and knowledge of data integration tools and platforms
- Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
- Ability to design and build data models using the appropriate technics to meet business objectives
- In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
- Advanced Analytics and Data Visualizations
- Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
- Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
- Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
- Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
- Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
- Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices
Benefits
- Active role in building and managing our business
- Contribute to growing our business in ways that align to their interests
- Growing business development opportunities
- Conducting interviews to support our hiring process
- Managing internal initiatives that build our brand
- Organizing trainings to share what you know with your colleagues
- Authority to make decisions
