Senior Analyst, Data Solutions

$70,000 - $110,000/Yr

Publicis Groupe - El Segundo, CA

Full-time - Mid Level

El Segundo, CA

Professional, Scientific, and Technical Services

About the position

The Senior Analyst, Data Solutions role at Saatchi involves collaborating with cross-functional teams to translate business objectives into actionable analytics initiatives. The position focuses on leveraging data and advanced analytics to support business initiatives, with success measured by the ability to analyze diverse data sets and synthesize insights into clear recommendations that drive business results.

Responsibilities

• Improve on analytic and strategic frameworks by leveraging a deep understanding of industry, company, and consumer content engagement drivers.
• Extract the full value from large complex datasets.
• Work with data science, consumer insights, media and web analytics, and BI teams to leverage data resources and champion new analytics solutions.
• Conduct exploratory and proof-of-concept analyses to identify viable projects that can drive business value.
• Own analysis projects from beginning to end; from conceptualization to presentation and socialization.
• Analyzing and presenting (written and verbal) key learning, insights and optimization recommendations to internal and external clients.

Requirements

• 3+ years of professional experience in a quantitative role, with extensive experience analyzing large sets of data to identify trends, patterns, and correlations that lead to actionable insights and recommendations.
• Ability to clean, process, and transform data as needed to facilitate analysis.
• Project management - strong attention to detail and the ability to prioritize tasks, multitask, and manage time effectively.
• Critical thinking skills - ability to identify gaps, visualize an objective, and leverage data to devise a solution.
• Collaborative mindset needed to bridge the gap between technical and non-technical teams.
• Excellent presentation development and visual storytelling skills.
• Fundamental understanding of data science concepts, methodologies, and techniques, including knowledge of statistical analysis, machine learning algorithms, data preprocessing, feature engineering, and model evaluation.
• Familiarity with data tools and languages (Python, R, SQL, Excel).

Benefits

• Medical coverage
• Dental insurance
• Vision insurance
• Disability insurance
• 401K
• Parental leave
• Family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off