Job Title: Data Analyst
Duration: 12 months + Contract
Location: Plano, TX - Hybrid (2-3 days per week in office, with the potential to increase to Monday-Thursday).
Interview Process: Two rounds of interviews via MS Teams.
Pay Rate: $62.50 hourly
JOB DESCRIPTION
Overview:
This role involves using data analysis to identify and solve problems. Key responsibilities include performing root cause analysis, proposing data-driven solutions, and developing tools like Python calculators for stakeholders. The position also requires strong communication skills to understand stakeholder needs and effectively present solutions.
Required Skills:
Proficiency in SQL and Python.
Experience in data analytics and problem-solving.
Strong analytical thinking.
Ability to work autonomously with minimal supervision.
Strong communication skills.
Nice to have:
Experience with AI/ML is a plus.
What we're looking for
The primary focus of our Analytics teams is to generate actionable insights by leveraging data and using effective data storytelling to help our company make better data-driven decisions.
What you'll be doing
Recommend actions based on your insights by effectively telling the story that is supported by data through presentations (PowerPoint), data visualizations (Tableau), and clear and concise verbal and written communications skills.
Uncover business needs and the true questions that the company is trying to answer in order to properly frame your analysis
Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis
Assess the quantitative and qualitative impacts of possible actions based on your insight, taking into consideration our customers, our employees, and our company
Coordinate with various stakeholders to help implement and measure recommended actions
Requirements:
Qualifications/ What you bring (Must Haves)
Highlight Top 3-5 skills
Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field.
Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines.
High proficiency and professional experience coding in SQL, Python and/or R (tested during interviews).
High proficiency and professional experience with Excel, PowerPoint and Tableau.
High proficiency and professional experience with data acquisition, data manipulation, data cleaning.
High proficiency and professional experience identifying trends and indicators through quantitative and qualitative analysis.
Proficiency with statistics and predictive modelling techniques.
Comfort with presenting ideas virtually or in-person to audiences of various sizes.
Ability to collaborate effectively with others as well as work independently while in a hybrid work environment.
Added bonus if you have (Preferred):
MBA or advanced degree in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field.
Professional work experience in auto financing, consumer lending and/or financial institutions.
Professional work experience in consumer credit risk, business analytics, finance and/or pricing roles
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