Data Analyst - NetApp

NetApp’s Active IQ Artificial Intelligence and Machine Learning power of predictive and prescriptive analytics enables customers and partners to automate data center operations and achieve extremely low total cost of ownership and avoid issues before they become a reality. Today, 98% of technical issues with NetApp products are automatically identified by Active IQ with prescriptive steps to avoid the issue – and we simply want to do better and more. Every day, one-half million active IOT end points feed the Active IQ multi-petabyte data lake with structured and unstructured data. That’s the pool you will have at your fingertips to continue to enhance NetApp’s world class data visionary analytic capabilities.  

As a member of the Active IQ Data Science & Analytics practice, you will analyze customer meta-data and build high-end analytical models for solving high-value business problems, such as storage and IT ecosystem durability and health, network robustness, and enabling always on always available storage ecosystems.   

At NetApp, our products and solutions enable customers to unleash the power of their data.  In the Active IQ team, we unleash the power of our own data at NetApp.

Responsibilities: 

• Processing and analyzing large volumes of data. 

• Managing multiple analytics projects and representing the team as a key point of contact for analytical reporting.

• Interacting with business teams from the data analysis stage to the final report presentation. 

• Assisting Product Managers as needed to define and refine business use cases. 

• Writing coherent reports and making presentations on high-end analytical projects. 

• Communicating verbally and in writing with peer technical team members as well as business leaders. 

Essential Requirements: 

• Bachelors degree in Data Analytics & Statistics / Mathematics or related field (including experience in academic institutions) 

• Strong proficiency in SQL and relational databases 

• Strong proficiency in Microsoft Excel

• Proficiency in Machine Learning, Scripting, and Statistical & Reporting tools (Python, R, etc.).  

• Willingness to extend beyond core data science work to perform -data wrangling, data prep and data transfers, occasionally 

• Ability to communicate clearly across team members and executive audiences

• Experience with unstructured and semi-structured data sources and requisite processing tools. 

• Excellent written and verbal communication skills. 

• US Citizenship is required due to the public sector data access required for the role.

Additional Skills and Abilities: 

• Knowledge of at least some supervised and unsupervised modeling techniques such as Logistic/Linear Regression, SVMs, Neural Networks / Deep Networks, Boosting/Ensemble methods, Decision Trees, Clustering, etc. 

• Ability to think analytically, write and edit technical material, and relate statistical concepts and applications to technical and business users. 

• Ability to work both independently and in a team environment. 

• Ability to travel as business requirements dictate. 

Eucation & Experience

• Bachelors degree with related experience, or Masters Degree in in Data Analytics & Statistics / Mathematics or related field (including experience in academic institutions). 

• Experience in mathematical/statistical modeling, pattern recognition, or data mining/data analysis. 

• Experience specifying, building, and maintaining advanced analytic solutions with large-scale transaction data. 

• Experience working in a team to perform data management, deployment and product support for advanced analytic solutions. 

• Strong programming skills and knowledge of IBM SPSS, SAS, and/or scripting languages. 

• Ability to translate model performance to benefit for the business by incorporating knowledge of business owner practices and needs. 

Compensation

The base salary range for this position is $112,200 - $157,800 and will be determined by the candidates location, qualifications, experience, and education. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.