Sr. Data Analyst

Job Overview

The Senior Data Analyst is responsible for serving as a subject matter expert who can lead efforts to analyze data with the goal of delivering insights that will influence our products and customers. This position will report into the Data Analytics Manager, and will work closely with members of our product and marketing teams, data engineers, and members of our Customer Success organization supporting client outreach efforts. The chief functions of this role will be finding and sharing data-driven insights to deliver value to less technical audiences, and instilling best practices for analytics in the rest of the team.

About Us

When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent.Our customers do amazing things: design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile.As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent. Were passionate about helping companies build a diverse, winning workforce and about building our home team. We're dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs.

Responsibilities

• Perform various data analysis functions to analyzedatafrom a variety of sources including external labor marketdataand research and internaldatasets fromourplatforms

• Incorporate information from a variety of systems to produce comprehensive and compelling narratives for thought-leadership initiatives and customerengagements

• Demonstrate critical thinking - identify the story in context usingmultipledatasets, and present results. A strong proficiency in data storytelling will be critical to success in this role.

• Understand principles of quality data visualization and apply them in Tableau tocreate and maintain custom dashboards for consumption by other employees

• Find andinvestigatedataquality issues, root causes andrecommendremedies to be implemented by thedatascientists and engineers

• Liaise with teams around our business to understand their problems, determine how our team can help, then use our database to produce the content they need

• Identifydatamappingand enrichmentrequirements. Familiarity with SQL, especially the logic behind different types of data joins and writing efficient queries, will be necessary

• Consistently ensure that business is always conducted with integrity and that behavior aligns with iCIMS policies, procedures, and core competencies

Additional Job Responsibilities:

• Produce and adaptdatavisualizations in response to business requests for internaland externaluse

• Shows good judgement in prioritizing their own commitments and those of the larger team, while demonstrating initiative and appropriate urgency when needed

• Mentor junior team members in best practices for analytics, data visualization, and data storytelling. Exemplify these standards and guide teammates in following them.

• Think creatively to produce unique, actionable insights from complex datasets, which can deliver value to our business and to our customers.

Qualifications

• 5-10 years professional experienceworking in an analytics capacity

• Excellent communication skills, especially with regards to data storytelling finding insights from complex datasets and sharing those findings with key stakeholders

• Strongdataanalytics and visualization skills

• Expertise in Tableau Desktop (Tableau Server and Prep are preferable) producing clear and informative graphs and dashboards

• Proficiency in SQL and either Python or R to extract and prepare data for analysis

• Advanced knowledge of Excel (Pivot tables, VLOOKUPs, IF statements)

• Familiarity with data guardrails to ensure compliance with applicable data governance regulations and privacy laws (i.e., GDPR)

Preferred

• Expertise in Tableau Desktop (Tableau Server and Prep are preferable) producing clear and informative graphs and dashboards

• Proficiency in SQL and either Python or R to extract and prepare data for analysis