- Develop, maintain, and optimize data models and databases to improve data accuracy, accessibility, and reliability.
- Apply statistical analysis methods to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders.
- Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate hypotheses for testing.
- Design and implement data visualization techniques to present complex data insights in a user-friendly and intuitive manner.
- Collaborate with data engineers and scientists to implement data processing pipelines and ensure data consistency, integrity, and security.
- Stay up to date with the latest advances in data technologies and evaluate their potential application in solving business challenges.
- Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization.
- Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency.
- Bachelor's degree in computer science, data, statistics, mathematics, or a related field. Master's degree preferred.
- Proven experience as a Data Analyst, Data Scientist, or in a similar role with a focus on data modeling and analysis.
- Strong expertise in data modeling techniques such as entity-relationship diagramming, dimensional modeling, and data normalization.
- Proficient in SQL and database management systems (e.g., MySQL, Oracle, Snowflake, etc.).
- Proficient in data visualization tools such as Tableau, Power BI and Sigma.
- Experience with programming languages such as Python, R, and/or Julia.
- Familiarity with data processing frameworks like Spark or Hadoop is a plus.
- Solid understanding of statistical analysis techniques, data mining methods, and machine learning algorithms.
- Strong analytical and problem-solving skills with the ability to transform complex data into actionable insights.
- Proven ability to work in a fast-paced, collaborative environment and handle multiple projects with competing deadlines.
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Content Engineer - United Kingdom - Magnit
Description
Serving hundreds of the world's most recognizable brands for the past 30+ years, Magnit offers the industry's first holistic platform for the modern workforce.
Magnit's integrated workforce management (IWM) platform supported by data, software, intelligence, and best-in-class services team is key to our clients' success.
It can adapt quickly to regional or industry economic shifts, and provides the speed, scale, flexibility, transparency, and expertise required to meet an organization's contingent workforce management, talent strategy and broader organization goals.
About the RoleWe are seeking a highly skilled and motivated Analytics Engineer with a strong focus on data modeling and expertise in emerging technology.
As an Analytics Engineer, you will play a critical role in collecting, analyzing, and interpreting complex data sets to support strategic decision-making and optimize business processes.
Your expertise in data modeling and understanding of cutting-edge technologies will be instrumental in driving innovation and ensuring our organization stays at the forefront of technological advancements.
Elicit, refine, and manage data requirements collaboratively with business partners.What Magnit will Offer YouAt Magnit, you'll be joining an innovative, high-growth environment and can quickly make an impact to help transform the largest companies in the world.
Magnit offers all employees the opportunity for growth and development, and we want individuals to fulfill their potential and blaze their own trails Magnit will offer you a competitive benefits package.
Magnit encourages employees to participate in giving back, and we will match employee contributions to favorite charities and support corporate volunteering hours to make a difference in your communityTo see a complete list of our open career opportunities please visit do our best work we need different viewpoints.
Therefore, we celebrate diversity and embrace inclusion.As an equal opportunity employer, we are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills.