Senior Data Analyst - Sales Reporting

For Earth For Life

**Please Note**  Position is NOT eligible for employer sponsorship or relocation

BASIC PURPOSE AND SCOPE OF POSITION 

The Senior Data Analyst will support the organization by focusing on: Report Development, Quality Control, and Product Management. They will also be responsible for enhancing and maintaining BI and Data Visualization tools. This highly visible position will have the opportunity to work across the organization, with multiple layers of employees and management, and be part of building out a Data Analytics department for the organization.

The Senior Data Analyst determines best practices and develops better insights and recommendations for the current business operations or issues. They perform advanced business analysis with the help of several techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. They also handle special analytical projects. They work closely with the internal or external client to identify analytical demands.

PRINCIPAL ACTIVITIES:  This position does the following in accordance with all applicable Federal, State, and local laws / regulations and the Company’s policies, procedures, and guidelines:

• Proactively generate insights about our customers and our B2B sales/marketing activities; partner closely with sales and marketing stakeholders to guide the business through action-oriented business insights, recommendations, and reporting.
• Develop scalable analytic processes, methods, and self-service tools to ensure stakeholders and other analysts are empowered to make data-driven decisions with a positive impact on success metrics
• As an individual contributor, be the advisor and subject matter expert for data, analytics, and testing for your domain; advance innovation and improvements to the analytics techniques, approaches, and processes used across the company.
• Lead the analytic strategy for broad, unstructured problems while driving forward deliverables that address fundamental and ambiguous business questions.
• Seek opportunities for our sales and marketing team to have a bigger impact through analysis of closed deal data, lead conversion rates, customer characteristics, sales team performance and other data and processes.
• Leverage predictive modeling and deep-dive statistical and data science approaches in analyses (e.g. regressions, classification, clustering models, etc)
• Develop new tools to report and track operations. Up-to-date monitoring of operations with the goal of implementing continuous improvements.
• Support informed decision-making throughout the company by ensuring high data quality & integrity, building reports & dashboards, and conducting analyses on historical data.
• Ensures data accessibility and distribution by supporting ad-hoc data requests, creating and automating reporting and managing routine distribution of regular reports to both leadership.
• Work collaboratively with Management Team to evaluate, design, execute, and monitor business processes across all departments ensuring that the outcomes align with strategic goals.
• Provide day to day operational support and troubleshooting for applications.
• Develop SQL queries to manipulate analyze and report on large data sets
• Data extraction, creation, manipulation of multiple files and or databases
• SQL/PL SQL code tuning and Query optimization.
• SIT/UAT testing and identifying data quality issues.
• Analyze reporting requirements, study existing reports for layout, formula and calculations, derived values, restrictions, attributes, and variants.
• Train and mentor new hires to the department.
• Other duties as assigned by management.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Systems, or Business preferred.
• With a degree at least 7 years in data analytics required.
• In lieu of a degree at least 10 years of data analytics required.

• Advanced Microsoft Office skills, including Excel strongly preferred.

• High level of expertise with SQL, including the ability to write and troubleshoot SQL Code and design (stored procedures, functions, tables, views, indexes, sub queries, conditional joins, case statements, etc.) strongly preferred.
• Statistical Programming Languages: R, Python, and Java strongly preferred.  
• Data Visualizations: Power BI, Tableau, SalesForce strongly preferred. 

• Machine Learning, Data warehousing and SAP experience preferred, but not required.

PHYSICAL REQUIREMENTS:

Typical office environment.

DISCLAIMER:

The information provided in the description has been designed to indicate the general nature and level of work performed by incumbents within the classification.  This description is not intended to be a comprehensive inventory of all duties, responsibilities, qualifications and working conditions required of employees assigned to this job/classification.  This job is intended to include the current essential functions of the job.  Management reserves the right to add or modify the duties and responsibilities and to designate other functions as essential at any time.

Kubota is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin.