[US] Data Analytics Associate

About the role

We are seeking a detail-oriented Data Analytics Associate to join our Data Information Systems team. This role is ideal for an analytical professional with 1-2 years of experience who is passionate about transforming data into actionable insights.

Responsibilities

• Working with Tableau tool to create customer-facing reports on Benchmark application data and scoping said reports
• Working with customer services teams to finalize efforts for proposal creation
• Working with Application DEV teams to finalize data models to bring into the Tableau reports
• Entailing ongoing maintenance to these reports and investigating for data accuracy concerns

Requirements

• Bachelor’s degree in information systems/computer science, with course-work in database management, and computer-related training.
• 1-2 years of professional experience in data analysis, business intelligence, or related role
• Must be able to clearly understand and articulate a data science problem and work on it independently.
• Experience in implementing and optimizing various algorithms of big data analytics, machine learning, and statistical algorithms using computer languages such as SQL.
• Experience with Python is an added advantage.
• Extensive background in data mining and statistical analysis.
• Able to understand various data structures and common methods in data transformation.
• Excellent pattern recognition, natural language processing (NLP), predictive, and machine learning modelling.
• Advanced skills in Excel as well as any data visualization tools like Tableau, Power BI, or similar BI tools (familiarity with Tableau and/or Power BI preferred).
• Advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required.
• An ability and interest in working in a fast-paced and rapidly changing environment.
• Strong commitment to results and responsive, who understands sense of urgency

Qualifications

• Must have a bachelor’s degree in information systems/computer science, with course-work in database management, and computer-related training.
• Must have 1-2 years of professional experience in data analysis, business intelligence, or related role.
• Must be able to clearly understand and articulate a data science problem and work on it independently.
• Must have experience in implementing and optimizing various algorithms of big data analytics, machine learning, and statistical algorithms using computer languages such as SQL.
• Must have experience with Python (an added advantage).
• Must have extensive background in data mining and statistical analysis.
• Must be able to understand various data structures and common methods in data transformation.
• Must have advanced skills in Excel as well as any data visualization tools like Tableau, Power BI, or similar BI tools (familiarity with Tableau and/or Power BI preferred).
• Must have advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required.
• Must have an ability and interest in working in a fast-paced and rapidly changing environment.
• Must have a strong commitment to results and responsive, who understands sense of urgency.

Skills

• Tableau
• SQL
• Python (optional)
• Excel
• Data visualization tools like Tableau, Power BI, or similar BI tools (familiarity with Tableau and/or Power BI preferred)

Benefits

• Annual bonus programs
• Regular team-building events
• Off-cycle reviews to promptly recognize and reward excellent performers
• Engaging team activities including happy hours and exciting virtual events
• Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offering a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action

Pay

Competitive salary based on experience and qualifications.

Schedule

Hybrid schedule available, combining remote and in-office work.