Sr. Analyst, Data Analytics

KNOWLEDGE, SKILLS & ABILITIES: PRIMARY OBJECTIVE OF POSITION:

Perform diverse data analytics activities, including data gathering and management, predictive modeling, and statistical analysis, to uncover meaningful business insights that enable informed decision-making, drive stakeholder action, and improve business outcomes.

JOB RESPONSIBILITIES:

Data Analytics

• Build solid analytical research plans recommending ideal data models based on good understanding of business goals and data availability
• Conduct various exploratory analyses of primary and secondary data using analytical tools such as R, Python, or SPSS to identify statistically meaningful insights
• Generate insightful stories after uncovering meaningful patterns from available data with easy-to-understand summary of findings in PowerBI, PowerPoint or Excel

Database Development & Management

• Develop and manage external market indicator database for diverse business dashboards & analyses
• Drive improvement and standardization across the company in knowledge base, processes, analysis, and data presentation
• Build and manage database of internal tracking research data

Business Forecasting & Reporting

• Develop forecasting models for multiple business units, collaborating with internal client teams on data retrieval and model development
• Continuously enhance the forecasting models by exploring further external and internal data and new model designs
• Develop effective report designs and continuously improve them for internal users

Process Automation for Data Processing & Visualization

• Develop automation process from data analysis to visualization for frequently produced deliverables
• Develop repeatable process and decision-support tools that translate analytical insights into recommended actions, establish stakeholder ownership, and measure business outcomes

Other Responsibilities

• Perform data cleaning, analysis, and presentation design for other ad hoc analysis
• Gather and analyze various types of structured and unstructured data to enable in-depth market/customer analysis.

EDUCATION & EXPERIENCE:

• Bachelors degree in a technical field (e.g. statistics, data science, mathematics or related) is required
• Masters degree in a technical field (e.g. statistics, data science, mathematics or related) is preferred, but not required
• 5+ years of analytical work experience required
• Knowledge of statistical analysis and analytics tools required.

KNOWLEDGE, SKILLS & ABILITIES:

• Proficiency with analytical tools (e.g. SAS/SPSS, R, Python, Tableau, PowerBI, etc.)
• In-depth knowledge of analytical models (e.g. predictive modeling, decision tree, etc.)
• Experiences in database management preferred
• Experiences in text analytics preferred
• MS Excel / PowerPoint Advanced analysis, reporting, formatting, data manipulation and presentation
• Ability to communicate analytical results in a clear and understandable manner utilizing methods appropriate to various forums
• Effective working cross functionally in a geographically dispersed global organization
• Achievement-oriented and willing to put forth a high level of effort to produce results in a fast-paced environment
• Ability to effectively adapt to or initiate change
• Comprehensive verbal and written communication skills
• Manages ad-hoc request queue and effectively prioritizes work based on business value.

Accountability - Time - Priority

Market data management,----- 40% A

analysis and visualization for regular deliverables

Ad hoc analytics projects--------40% A

Predictive analytics/business forecasting -----20%------ B

WORKING CONDITIONS: Must be able to perform the essential functions of the job .

Much of the work will be in a normal office environment. The ability to clearly and comfortably view, interpret and process information via a computer monitor for extended periods of time during normal working hours is required. Some assignments will require extended periods in another plant/office location domestically. Some international travel may be required.