Analytics Engineer

Affirma; Austin (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading data analytics company in Texas is seeking a Data Engineer to enhance data management strategies. This role involves analyzing data to drive business solutions and developing custom data models. Candidates should have 5-7 years of experience and possess a Master's or PhD in a quantitative field. Proficiency in R, Python, SQL, and familiarity with distributed computing tools is essential. The company promotes a collaborative atmosphere to ensure client satisfaction while adhering to project budgets.

Qualifications

• 5-7 years of experience manipulating data sets and building statistical models.
• Experience with distributed data/computing tools.
• Knowledge of advanced statistical techniques and concepts.

Responsibilities

• Identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from client databases to drive optimization.
• Develop custom data models and algorithms.

Skills

Statistical and data mining techniques

Data manipulation and building statistical models

Machine learning algorithms

Problem solving skills

Communication skills

Education

Master’s or PhD in Statistics, Mathematics, Computer Science or another quantitative field

Tools

R

Python

SQL

Hadoop

Spark

Tableau

Job description

Affirma, five years in a row ranked "Best Companies to Work for" and "Fastest Growing Companies" in Washington is seeking a Data Engineer to join our growing Data & Analytics team. This individual will support Affirma's mission to provide exception value to our clients by planning, executing, and deploying data management solutions.

Responsibilities

• Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from client databases to drive optimization and improvement through data.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Coordinate with different functional teams to implement models and monitor outcomes.

Qualifications

• We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PhD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with distributed data/computing tools: Hadoop, Hive, Spark, etc.
• Experience visualizing/presenting data for stakeholders using: Excel, Tableau, etc.
• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.

Accountabilities and Measures

• Keeping our clients happy
• Working and collaborating well with internal and external team members
• Staying within project budget targets
• Adhering to billable and un‑billable policies

Affirma is an Equal Opportunity Employer and does not make employment decisions or otherwise discriminate based on race, creed, color, national origin, sex, military status, sexual orientation, or the presence of any sensory, mental, or physical disability, genetic information, or any other category protected by law.