Offer summary

Qualifications:

Minimum 3 years of experience in advanced data mining techniques and tools such as R and Python., Minimum 2 years of experience with data visualization tools like Tableau or Power BI., Bachelor's degree in engineering or a quantitative discipline, or equivalent experience., Strong analytical skills and experience in statistical analysis and data modeling..

Key responsabilities:

Conduct comprehensive analyses of the employee lifecycle by integrating data from various sources.

Regularly update and enhance dashboards, providing actionable insights and reports to business partners.

Collaborate with multiple teams to identify opportunities for leveraging data and improving processes.

Build predictive models and assist with presentations and visual aids to facilitate decision-making.

Job description

Our Client, a Mass Media And Entertainment company, is looking for a Data Scientist I for their Remote location.

Responsibilities:

The Data Scientist will conduct comprehensive analyses of the employee lifecycle by integrating data from various sources.
This role involves regularly updating and enhancing dashboards and providing reports.
Collaborating with multiple teams including Talent Acquisition, Employee Engagement, Talent Insights and other teams, the data scientist will ensure insights are actionable and relevant. They will also present findings and strategic recommendations to business partners and senior leadership.
Analyze and model workforce data; apply expertise in quantitative analysis to inform beyond the numbers and help influence business decisions for P&C Business Partners, Finance, Inclusion and Diversity, and others in the organization.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to develop scalable products and solutions that help our internal P&C clients better understand their talent and navigate workforce challenges
Partner with internal team to identify areas for improvement for data quality, process efficiencies/effectiveness, etc., and work with internal teams to automate or streamline data entry/collection processes to ensure the highest data integrity
Perform data exploration, cleaning, and wrangling to understand available data and produce actionable insights
Build predictive and machine learning models, algorithms, statistical tests, dashboards and reports, assist with presentations, and visual aids used to facilitate the decisions and create KPIs for new features of P&C and Finance clients and business leaders.
Integrate structured and unstructured data from multiple systems efficiently and develop analytics on headcount, workforce cost, time tracking, absence, recruiting etc. to help business better manage their workforce resource.
Assist developing reports in Workday and other BI tools to analyze data, perform trend analysis and identify data discrepancies.
Focused on reporting and analytics.
This role will be working with people reporting in workday and focused on analytics.
Dashboard refreshes. Interfacing with teams on business needs and talent insights for metrics needed. Working with a lot of teams in p&c
Covering for a leave.
Refreshing dashboards, stepping in for adhoc analysis projects.

Requirements:

Minimum 3 years of Experience in advanced data mining techniques and tools such as R and Python, and familiar with manipulating large-scale structured and unstructured data
Minimum 2 years of experience with data visualization tools such as Tableau or Power BI
Experience in transforming goals/requests into visual story to help end users identify areas of strength and opportunities for improvement
Expertise in analytics, including advanced statistical analysis, data modeling, and insightful data interpretation
Utilize discretion and judgement to maintain confidentiality of sensitive data
Experience in HR system transactions preferred
Consulting experience with a management consulting/software company preferred
Strong leadership and communication skills with wide variety of business partners and levels
Strong interpersonal and relationship building skills
Experience presenting in front of senior leaders
Must be supportive team member as an active participant and contributor
Comfortable with ambiguity
High School diploma or equivalent required
Bachelor or higher degree in engineering or quantitative discipline, or equivalent combination of training and work experience
Points about team culture
Competitive market comparison
Unique selling points
Value added or experience gained
Python, tableau, power BI are all nice – no specific tool requirements
Being really excited about data, inquisitive mindset, excited about looking at new ways to visualize things, “data detectives”. Excited about the unknown.
Level of experience with each
Stack-ranked by importance
Skill: working with large data sets
Application: cleaning and organizing
Skill: visualization
Application: any tool, non specific
Skill: analytics.

Why Should You Apply?

Health Benefits
Referral Program
Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

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