Data Insights Senior Associate Jobs

Demonstrated knowledge of development strategies, project management and business and technical consultancy

2+ years of Management or leadership experience

5 years of experience in a customer facing products/services environment

5 years of experience working within a data platform/data analysis environment

Experience leading teams of data analysts and data scientists.

Education: Bachelor's degree in Computer Science, Engineering or related field

Manage and collaborate with social analytics vendors to deliver timely social insights reports to the wider business

Collaborate within team to manage social insights budget

2-3 years of experience in social listening and social media monitoring

Experienced social listening tool user (Talkwalker, Meltwater, ListenFirst, Brandwatch, Netbase, Sprinklr, etc.)

Understand and apply knowledge of the historic and constantly evolving landscape of social media

Knowledge of Boolean logic and queries

Develop, manage, and maintain centralized dimensional data model for core workforce data at HP.

Presenting written recommendations, requirements, and insights through the addition of technology platforms and net new data sources.

Experience implementing solutions using full Microsoft Power Platform considered an asset.

Experience supporting full cycle technology implementations in a large complex organization.

Required post secondary education in the field of computer, information science, or statistics.

Responsible for making recommendations on ongoing tools and technology selection for People Insights solutions development.

Own solutioning, client management, delivery of data and analytics projects

Strong communication skills with experience and ability in speaking with C-Level executives.

10+ years of experience in delivering large scale data and analytics or related engagements.

Significant expertise and industry knowledge in at least one of the silos of Healthcare, Life Sciences, Financial Services, Retail or Manufacturing.

Strong experience in data and analytics ecosystem across Azure, AWS, Google

The benefits our employees enjoy:

Experience visualizing data with tools like Tableau, advanced Tableau skills

Visa experience or knowledge of the payments industry

Get to an understanding of root problems, define analytical objectives, and formalize data requirements for various types of analyses

Strong verbal, written, and interpersonal skills are required

Must be proficient in all MS Office applications with advanced Excel spreadsheet skills

This position will not be able to offer any relocation assistance or immigration sponsorship

Excellent project management, organizational, and attention to detail skills.

Support the management, intake, and actioning of ad-hoc requests.

Help build and maintain strong working relationships with cross-departmental teams, including Data Engineering, Product Analytics, Marketing, Program Management, and Operations.

Experience creating, updating, auditing and reporting data in a database environment, preferably CRM.

Experience with Salesforce or other CRM preferred.

Experience with Tableau, Looker, or similar data visualization technologies preferred.

Get to an understanding of root problems, define analytical objectives and formalize data requirements for various types of analyses.

Strong Verbal, Written, And Interpersonal Skills Are Required

Combine and analyze disparate data sources and derive insights in a Big Data environment

Proactively facilitate the overall analytic delivery strategy for the organization

Compare client performance against industry best practices with a shrewd eye toward identifying performance and/or profitability improvement opportunity

Develop presentations of complex data and content for clients in an accurate, understandable, and engaging manner

Bachelor's degree Computer Science, Information Technology, Advanced Analytics and Data Science, Project Management, Business Administration, or other relevant degree area

Strong knowledge of latest generation analytics tools and capabilities, including AI/Machine Learning technologies

Educate organizational stakeholders on analytical capabilities and concepts.

Develop new analytical capabilities and tools in coordination with business stakeholders and technical colleagues.

Proficient in advanced SQL skills including advanced analytic functionality.

Experience with the following technologies: Cloud platforms like AWS Redshift & Azure, Tableau, Power BI, Python

All skills, abilities and education will be considered for minimum qualifications.

Managing, leading, coaching, training, evaluating, performance management and other people leader responsibilities.

Experience in higher education preferred.

Use strong analytical, problem solving, and quantitative skills with data-driven approach to decision-making and influencing external partners or internal functions/processes.

Experience in Business Intelligence Dashboards and actionable analytics design.

Experience working in a technology-driven enterprise preferred.

Collaborate with cross-functional teams, especially data engineering, to understand data requirements and implement robust data solutions.

6+ years of experience in a data engineering or analytics engineering role.

Strong proficiency in using SQL and experience optimizing SQL databases for performance (Trino SQL, or Spark).

Demonstrated experience in managing data pipelines (like HDFS), data repository (like GitHub), workflows (like Apache Airflow), and ETL (best practice coding).

Experience working with multiple stakeholders, setting project priorities and delivering on Objectives and Key Results (OKRs). 

Excellent analytical skills, designing data workflows and analyzing data for anomalies, or setting data quality thresholds via automated solutions.

Understand the root problem, define objectives, and formalize data requirements

Must have a High School diploma or equivalent. 2 or more years of relevant work experience.

4 or more years of relevant work experience.

2 years of analytics experience with a focus on reporting and executive support

Modeling and presentation skills using appropriate tools for the task at hand (e.g., Excel, Tableau, PowerPoint)

Foundational knowledge of probability and statistics

Understand the root problem, define objectives, and formalize data requirements

Must have a High School diploma or equivalent. 2 or more years of relevant work experience.

4 or more years of relevant work experience.

2 years of analytics experience with a focus on reporting and executive support

Modeling and presentation skills using appropriate tools for the task at hand (e.g., Excel, Tableau, PowerPoint)

Foundational knowledge of probability and statistics

5+ years experience as a technical expert in engineering, data science, data analytics, business analysis, or business intelligence

Experience designing dashboards and reports in data visualization platforms (Tableau, Looker, Power BI, Sisense). Tableau experience is a plus.

Exceptional critical thinking and problem-solving skills. The ability to develop compelling written communications (memos/emails) and presentations (slide decks).

PMP, CAPM, or Scrum/Agile certification is nice to have

Bachelor's degree or equivalent practical experience

Drive towards action to create an outcomes oriented culture. Fewer order takers and more leadership insights provided.

Assist in client account management on a day- to-day basis.

2+ years of relevant experience in an in-house, government or consultancy environment.

Ability to manage many different projects at once.

Excellent written and verbal communication skills.

Experience managing and guiding junior talent.

Flexible hybrid remote/in office plan

Develop strong cross-functional relationships to ensure performance results are top of mind and knowledge gaps are bridged by extending financial literacy

Provide recommendations for continuous improvement of our analytical capabilities (e.g. helping understand new sources of data or recommending new tools/platforms)

Advanced knowledge of Excel or Google Sheets

Intermediate experience with: HRIS software's, SQL, Python, and Alteryx

Robust financial acumen and experience with manufacturing organizations

Own end-to-end delivery of actionable insights with scoping, data collection, data analysis, and presentation to senior leadership