General Position Description

We are seeking a highly motivated Data Scientist / Business Intelligence Analyst to join

our team. The ideal candidate will bring strong technical expertise in data analysis,

visualization, and machine learning, combined with a solid understanding of business

contexts such as marketing, finance, accounting, or economics. This role requires the

ability to turn complex data into actionable insights that support strategic

decision-making across the organization.

Responsibilities

● Collect, clean, and analyze large datasets from multiple sources.

● Design and build dashboards and reports using BI tools (Sisense, Tableau, Power

BI).

● Develop and apply statistical models, predictive analytics, and machine learning

algorithms.

● Collaborate with stakeholders to define KPIs and track business performance.

● Translate analytical findings into clear, actionable recommendations for business

leaders.

● Support cross-functional teams with data-driven insights for marketing, financial

planning, and operational improvements.

● Maintain and optimize SQL queries, ETL processes, and data pipelines.

● Document methodologies, maintain reproducible analysis, and ensure data

accuracy.

● Promote a culture of quality in all deliverables and processes.

● Participate in and perform code reviews.

● Participate in technical feature reviews.

● Work with our quality assurance automation team to develop new test cases and

assist in improving overall quality and delivery methodologies.

Qualifications

● 2–4 years of professional experience in data science, analytics, or related fields.

● Bachelor's degree in Data Science, Statistics, Computer Science, Finance,

Economics, or related discipline (Master's degree preferred).

● Good verbal and written communication skills in English.

● Proficiency in SQL, Python, and/or R.

● Experience with BI and visualization tools (Sisense, Tableau, Power BI).

● Strong understanding of statistical modeling, hypothesis testing, and predictive

analytics.

● Familiarity with machine learning techniques and frameworks.

● Background or coursework in marketing, finance, accounting, or economics.

● Strong communication skills with the ability to explain technical results to

non-technical stakeholders.

● Detail-oriented, self-driven, and able to manage multiple projects simultaneously.

● Good written and verbal interpersonal, teamwork, and communication skills.

● Ability to accurately estimate workload for a given task.

● Comfortable working in an Agile environment.

● Positive, can-do attitude with a focus on the success of the team over the

individual.

Preferred Skills

● Experience with cloud data platforms (AWS, Azure, GCP).

● Knowledge of financial modeling or marketing analytics.

● Exposure to advanced ML/AI applications.

Professional Management Advisors Associates, Inc. (PMAA, Inc.)

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