As Manager, you are responsible for leading delivery teams to the successful completion of a project. You are often the most technical person on the team but can also work directly with clients to identify and design the correct solution that meets their analytics use cases. As a Manager, you will be expected to:
Develop strategies and overall project plans to solve complex business problems across multiple project teams at a client or multiple clients.
Define the overall project architecture & lead delivery team for implementation of analytics and/or software applications.
Set client expectations on project delivery, scope and timeline.
Demonstrate in-depth technical capabilities and professional knowledge.
Engage with executive leadership to deliver solutions and drive projects.
Independently build and maintain strong relationships with clients and identify areas for growth/opportunity to expand our offering.
Mentoring and coaching Consultants and Senior Consultants to improve their technical and consulting skills.
Qualifications
Prior experience working in either Data Warehousing or Business Intelligence background as a Solution Architect, Data Architect or Senior Developer.
Experience solving business problems by turning raw data into actionable insights.
Strong knowledge of data modeling concepts and experience designing and implementing data models for applications and/or reporting.
Experience working with major database technologies along with cloud data platforms like Databricks, Snowflake, Azure Synapse, Amazon Redshift and/or Google BigQuery.
Experience with cloud-related technologies AWS, Azure, Google Cloud, etc.
Strong technical experience in ETL/ELT tools and concepts (DBT, Matillion, Fivetran, Coalesce, SSIS, Informatica).
Expertise with any Business Intelligence/Data Visualization tools (Power BI, Tableau, Sisense, Sigma, Qlik Sense, etc).
Must possess a strong desire to work hands-on developing Data Warehousing, reporting and performance management solutions across a range of industries and functional disciplines.
Demonstrated problem-solving and quantitative skills, combined with excellent written and verbal communication skills are required .
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Staffing and Recruiting
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