Data Analytics Senior Associate

Spaulding Ridge; Jaipur, Bengaluru, Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Lifestyle offerings

Paid holidays

Flexible PTO

Maternity leave

Paternity leave

Job summary

Spaulding Ridge is seeking a Senior Associate in data Solutions to lead analytics engagements for client organizations. You will manage projects, design modern data architectures, and drive end-to-end DBT-enabled data pipelines.

Ideal candidates bring 7+ years of BI/analytics experience, strong SQL, and hands-on DBT with cloud databases. The role includes client relationship management and opportunities for pre-sales contributions.

Qualifications

• 7+ years of experience delivering BI and analytics solutions.
• Thorough knowledge of data warehouse concepts and dimensional modeling.
• Advanced SQL proficiency.
• At least 2+ years hands-on experience with DBT (Data Build Tool).
• DBT experience on modern cloud databases such as Snowflake/Redshift/BigQuery/Databricks or similar.
• Experience setting up and managing DBT projects and YML configurations.
• Hands-on Analytics Engineering using DBT, building data models and business logic.
• Knowledge of BI tools such as Sigma, Looker, Omni, Power BI, or similar.
• Familiarity with modern data integration/ELT tools like Fivetran/Workato/Boomi.
• Experience with AWS/AZURE/GCP cloud data platforms; Azure preferred.

Responsibilities

• Pre-sales, estimation, scoping, design, and implementation of analytic solutions.
• Manage day-to-day client relationships and project execution.
• Oversee Data Engineering lifecycle from research to deployment and maintenance.
• Collaborate with architects to design scalable analytics solutions.
• Build proof-of-concepts for modern analytics stacks for cloud systems.
• Mentor and develop junior resources on projects.
• Produce actionable recommendations addressing platform and data issues.
• Deliver technical presentations and knowledge-sharing sessions.
• Contribute to solution scoping and effort estimation in projects.

Skills

DBT

SQL

Data warehousing

Dimensional modeling

Analytics engineering

Team leadership

Pre-sales

Cloud data platforms

BI tools

Communication

Tools

DBT

Snowflake

Redshift

BigQuery

Sigma

Looker

Power BI

Fivetran

Workato

Boomi

Job description

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 reporting and analytical solutions using modern BI tools is preferred, with Sigma Computing experience considered an advantage.
• Experience working with modern data integration and ELT tools such as Fivetran, Workato, or Boomi would be an added advantage.
• Hands‑on experience with Snowflake would carry higher weightage.
• Snowflake SnowPro Core certification would carry higher weightage.
• Experience working in AWS, Azure, GCP, or similar cloud data platforms would be an added advantage.
• Hands‑on experience with Azure would carry higher weightage.

What else to expect

As a Spaulding Ridge employee, the right candidate will also gain exposure to an early stage growth company providing innovative opportunities to impact our clients in a meaningful way.We believe giving back is core to our values. As such, the opportunity to participate in SR’s day of service, giving back to the global community.

We take care of you!

Here are some our great perks and top benefits to highlight:

• Full benefit offerings including health, wellness, retirement and lifestyle offerings
• Paid holiday time
• Flexible Time Off – Take the time you need when you need to take it
• Paid maternity and paternity leave

Spaulding Ridge’s Commitment to an Inclusive Workplace

When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.

At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.

The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay ( [e-mail] ). Requests for reasonable accommodation will be considered on a case‑based basis.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.