Senior Data Analyst - Insights

Denver, CO, United States

We have partnered with our client in their search for a Senior Data Analyst - Insights

Job Description:

Enormous opportunity to utilize your analytics experience to mature the Analyst function at a company on an explosive growth path with modern, cloud-based data and analytics platforms. The Analytics team is responsible for generating insights, solutions and recommendations that drive high-quality decisioning across the company - spanning multiple geographies and functional areas including sales, operations, finance, M&A, marketing, merchandising, real estate, HR, retail, cultivation, production, and supply chain. The Senior Analyst is responsible for delivering quality and relevant analytics solutions across a wide range of analytics technologies and architectures including big data platforms, enterprise data warehouses, and multiple reporting and analytics frameworks and tools. The candidate will be working with executives and must have the ability to present digestible, actionable, trusted insights and recommendations that drive business decisions. The position will require the candidate to be technically proficient with a high degree of business acumen. The person in this role will partner closely with the Reporting and Data Engineering teams.

Responsibilities:

Apply knowledge of advanced mathematics/statistical/computer science methods, theories, and standards to define problems, collect data, and analyze enterprise business results and relevant external data

Utilize data analysis and modeling skills to highlight performance, risk, and opportunities and to identify and generate key insights which support development of action plans to achieve annual business targets.

Act as an analytics resource in business meetings and strategy sessions to facilitate decisions grounded in data, and to provide consultation and recommendations to the leadership team on the best approaches to data driven solutions to corporate problems

Transform data into insights and synthesize insights into stories. Clearly and effectively communicate data stories to leadership to influence actions that provide value to the business; drive a culture of data storytelling through visually portrayed insights and dashboards

Conduct market analyses, analyzing product lines, customers, and overall profitability of the business.

Provide industry (regulated, retail, manufacturing) and economic expertise as a key input to analysis and business recommendations

Champion data literacy and a data-driven decision-making culture in the company

Run peer reviews for analysis design and results

Work with business analysts on work intake and to convert the requirements into the analytics approach

Work with other Data and Analytics leaders to support the DataOps foundation

Assist with incident management including problem identification, root cause analysis, and solutioning

Data mine for trends and anomalies, analyzing multiple datasets and program metrics to determine correlation versus causation

Utilize the team standard methodologies for data collection and metric calculation, ensuring the data is accurate and fit for use, partnering with Data Engineering and Data Governance to identify and fix quality issues

Query large data sets, apply unit and regressions testing to validate query logic

Qualifications:

Proven business acumen with strong statistics experience and intuition

Demonstrated ability to understand complex business problems and translate them to mathematical/statistical questions/hypotheses that can be answered through analytics that deliver actionable insights to business partners

Highly analytical, inquisitive, proactive, problem solving, and strategic mindset with an ability to think broadly, dig deeply, develop actionable intelligence, and drive clarity in the face of ambiguity

Ability to understand and communicate developments in business changes and results and to translate into financial consequences

Solid understanding of various business processes and organizations (i.e., HR, operations, sales, finance/accounting, supply chain, production, marketing) and the data they generate and consume as well as their standard KPI's

Experience with analytics in retail and wholesale industries is required; experience in regulated industries such as pharma, alcohol, tobacco, preferred

Team-centric, service-minded, committed, and passionate; displaying integrity and honesty in a competitive environment

Self-motivated, continuous improvement mindset and can work with minimal direction and can drive results

Strong presentation and written communication skills

Able to work across several levels, summarizing key points for strategic audience, including senior decision makers, while also able to dive into details with specialists/analysts

Strong quantitative skills such as statistics and data analysis

Experience utilizing various analytic tools

Ability to collect and summarize data from multiple platforms, deal with abstract and concrete variables, establish facts, and draw valid conclusions.

Experience in forecasting, budgeting and financial modeling combined with understanding of key performance indicators and impact of seasonality

Ability to use data to back up assumptions, develop business cases, and complete root cause analysis

Experience in an Agile environment

Must Haves:

4 to 8+ years of experience with a proven track record as an Analyst

Bachelor's degree in Analytics, Computer Science, Statistics, Mathematics, Engineering, or Operations Research.

Ability and desire to thrive in a high-pressure environment

Very strong written and verbal communication skills from both an IT and business perspective

Self-motivated, continuous improvement mindset and can work with minimal direction

Proactive personality who will drive results with strong customer service focus

Must have deep knowledge of IT finance and be capable of using ERP to generate reporting

Highly skilled in advanced Excel pivot and analytical functions

Highly skilled in SQL coding and developing queries

Knowledge and some experience with PowerBI

Expertise with Microsoft PowerPoint

Expertise with querying and joining data from relational, NoSQL, and file-based data structures (such as Hadoop, AWS S3)

Experience with cloud-hosted data stores, databases, and other data serving layers, primarily in AWS

Nice to Haves:

Additional degree in Business, Finance, or Economics is nice to have.

Experience with Python

Experience with querying in the native SAP HANA database

Extensive knowledge of core functions and data within SAP S/4 is preferred

Title: Senior Data Analyst - Insights

Location: Remote

About Korn Ferry

Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at

www.Kornferry.com

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