Data Analytics 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 Data Engineering Consultant in Data Solutions youll be responsible for pre-sales estimation scoping designing implementing and testing proposed modern analytic solutions. Working closely with our client partners youll develop relationships with key technical resources while delivering tangible business outcomes.

Ideal candidates will be able to :

• Partner with business & client stakeholders to gather requirements translate them into technical specifications and design effective BI solutions
• Manage the Data engineering lifecycle including research proof of concepts architecture design development test 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 practices on Solution Plays Pre-Sales Activities Estimation Scoping and Solutions

Qualifications :

3 years of SQL development including advanced analytic functions

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 believe giving back is core to our values. As such the opportunity to participate in SRs 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 :

Spaulding Ridges 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 ( ). Requests for reasonable accommodation will be considered on a case-by-case 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.

Required Experience :

IC

Key Skills

Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics

Employment Type : Full Time

Experience : years

Vacancy : 1