Data Analytics Senior Associate
Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
What You Will Do and Learn
As a Senior Associate in data Solutions, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes.
Ideal candidates will be able to:
- Ability to manage projects and teams against planned work.
- Responsible for managing the day-to-day client relationship on projects.
- Manage the Data Engineering lifecycle including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance.
- Collaborate with team members to design and implement technology that aligns with client business objectives.
- Build proof of concepts for a modern analytics stack supporting a variety of cloud-based business systems for potential clients.
- Team management experience and ability to manage, mentor, and develop talent of assigned junior resources.
- Create actionable recommendations based on identified platform, structural and/or logic problems.
- Communicate and demonstrate a clear understanding of client business needs, goals, and objectives.
- Collaborate with other architects on solution designs and recommendations.
- Assess client data environments and recommend scalable analytics and data engineering solutions.
- Design and implement business-ready data models and business logic using modern analytics engineering practices.
- Deliver technical presentations, workshops, and knowledge-sharing sessions for clients and internal teams.
- Participate in solution scoping, effort estimation, and pre-sales discussions where required.
Qualifications:
- 7+ years of experience developing industry-leading business intelligence and analytics solutions.
- Must have thorough knowledge of data warehouse concepts and dimensional modeling.
- Must have experience writing advanced SQL.
- Must have at least 2+ years of hands-on experience with DBT (Data Build Tool).
- Most recent hands-on experience with DBT is mandatory.
- Must have experience working with DBT on one or more modern cloud databases such as Snowflake, Amazon Redshift, BigQuery, Databricks, or similar platforms.
- Must have experience setting up and managing DBT projects.
- Must have experience understanding, creating, modifying, and optimizing YML files within DBT.
- Must have hands-on experience in Analytics Engineering using DBT, including designing and developing business-ready data models and implementing business logic from raw data.
- Knowledge of BI and analytics tools such as Sigma, Looker, Omni, Power BI, or similar platforms.
- Experience building reportin
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