Data Scientist

About Us  Concord isn't your typical consulting firm; we're an execution focused company passionate about delivering results.

Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize product offerings through seamless integration, optimization, and activation of technology and data.

We are purpose-built, merging the industry’s top specialty companies to amplify our innovation capabilities in Analytics & AI, Data Management & Engineering, UX and Digital Experience, and Technical Platform Integration, Automation, and Security Engineering.

About The Role The Data Scientist is responsible for driving the data roadmap and enabling the company's strategic objectives with data and deep insights.

They will partner closely with business teams to execute on a data / analytics agenda, explain business performance with data, develop hypotheses to drive actions and identify growth opportunities by performing hands-on data engineering, data analysis, and visualization of results.

The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.

Responsabilities Interpret business needs and requirements and independently perform analysis and / or build reports and dashboards to meet requirements.

Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.

Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.

Interact independently with business partners on data needs and respond to data requests.

Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.

Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.

What We Are Looking For Minimum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.

Experience working independently with business partners and diverse corporate functions.

Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).

Working knowledge in developing reports and dashboards in Power BI or Tableau.

Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.

Ability to identify key insights and present results to a business audience.

Preferred experience in mapping techniques, such as calculating distances and routes, as well as ability to build custom market and demographic maps.

Awareness of the latest trends in data analytics.

Knowledge and experience in the banking industry and banking systems.

Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.

Strong collaboration and communication skills to effectively partner with other data teams and business partners.

Financial Services experience and knowledge of the Retail / Commercial Banking industry, products, and data are highly desired.

Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, or Sciences.

A master's degree in a quantitative discipline is a plus.  What We Offer (W2 Benefits) Health, Dental, and Vision Insurance :

• Comprehensive coverage to support your well-being.

Employer Contributions to Health Savings Accounts (HSA) :

Disability Insurance :

Life and AD&D Insurance :

Paid Time Off (PTO) and Holidays :

Career Growth Opportunities :

Team Engagement Activities :

Additional Information  Employment type :

The transition to full-time with our client in the financial industry.  Hourly range :

Full-time salary :

Requirements :

Our core capabilities work together to help companies untangle their toughest business and technology challenges :