Analyst, Data Science

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. We are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

What you’ll achieve: As a Data Science Analyst, you will lead initiatives in advanced analytics, machine learning, and data-driven decision-making. You will design scalable models, optimize algorithms, and collaborate across teams to deliver actionable insights. You will champion innovation and ensure data science solutions align with business objectives.

You will develop fundamental new approaches to generating meaning and value from internal data technologies, often working closely with business leaders and their supporting functions. You will develop new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets from disparate data sources. You will also seek to understand our stakeholders’ most urgent questions and use statistical methods and models to provide answers or generate recommendations for process improvements and work with data engineers to create new tools and features that support sophisticated analytics within the database.

Key Accountabilities:

• Designs, develops and programs methods, processes and systems to consolidate and analyze unstructured data to generate actionable insights and solutions.
• Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Constructs predictive models, algorithms and probability engines; verifies model and algorithm effectiveness based on actual results.
• Interacts with business leaders and team members to understand business strategy, conditions and problem areas.
• Contributes to business strategy and influences decision making based on information gained from deep dive analysis.
• Produces actionable & compelling recommendations by interpreting, exploring, identifying and communicating insights discovered from complex data sets.
• Partners with both internal & external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights.

Knowledge and Application:

• Learns to use industry standard data science and data engineer best practices.
• Applies knowledge and basic problem-solving techniques to define and resolve problems.
• Determines a course of action based on guidelines set forth by leadership and senior team members.

Problem Solving:

• Works on problems of limited scope.
• Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained.
• Work is reviewed periodically based on a set of defined procedures or precedence.
• Normally receives general instruction on work and new assignments.

Collaboration and Interaction:

• Interacts daily with subordinates and/or functional peer groups. Interaction normally involves exchange or presentation of factual information. Conveys straightforward information to audiences.

Technical/Additional Skills:

• Understanding of Python programming and other relevant languages (R, Java, SQL, DAX).
• Understanding of PowerAutomate or equivalent automation applications.
• Ability to use standard Data Visualization tools (PowerBI).
• Technical knowledge of machine learning and best practices.
• Computer Science or similar degree.
• Business case management and Business Analysis expertise.
• Excellent communication skills, with the ability to build long lasting relationships with key stakeholders.

Qualifications:

Essential Requirements:

• 1+ years of related experience in a professional role or equivalent experience.
• Expertise in statistical modeling, machine learning, and data visualization.
• Proficiency in Python/R and experience with big data platforms.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Desirable Requirements:

• Bachelor’s degree in Data Science, Computer Science, or related field a plus.
• Certifications in AI/ML or cloud data platforms.

Responsibilities:

• Develop and deploy predictive models and machine learning algorithms.
• Collaborate with stakeholders to translate business needs into data science solutions.
• Ensure data integrity, governance, and compliance across projects.
• Drive continuous improvement through experimentation and innovation.