Data Analyst - HR SR

JOB SUMMARY:

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business growth by using business intelligence tools to mine complex data, identify historic trends, and visualize large datasets. Data Analysts play a critical role in data governance, helping to create and maintain data standards and quality.

The HR Data Analyst will work as part of the skilled and passionate Textron Aviation HR Analytics Team delivering business solutions that enable workforce planning, people analytics, and other HR data initiatives and projects. The position's primary role will be to leverage people data (attrition, diversity, headcount, etc.) and talent acquisition data (hiring, recruitment, etc.) to solve complex business problems.

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.

JOB RESPONSIBILITIES:

I. Relevant experience focused on data collection, utilization, and analysis. Aviation experience preferred.

II. Optimize data reports measuring daily business activities in Power BI, Alteryx, or similar tools using query languages and formula libraries such as SQL and DAX

III. Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets.

IV. Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages

V. Develop technical as well as process-based solutions addressing business needs

VI. Work to improve data quality by assisting data governance efforts in creating and maintaining data quality standards

VII. Develop best practices and document proven solutions

VIII. Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities

IX. Gather and document analytics project requirements from business stakeholders

X. Explore and understand the inner workings and market context of an aircraft OEM

XI. Coordinate data management and resource requirements with data engineers

XII. Develop and conduct training to business analysts and internal customers on data and resources available through the analytics system

XIII. Interpret trends and communicate insights from marketplace and operations data to inform new product development, customer service, and other related departments

XIV. Provides direct leadership in designing and recommending appropriate analytical approaches and methodology to address key issues within the business

XV. Work with leadership teams to ensure projects are accurately prioritized and implemented

XVI. Propose and develop strategy for advanced analytics roadmaps

XVII. Ensures that team efforts support the overall strategic vision and goals of the organization and links with other similar teams in other parts of the business

EDUCATION/ EXPERIENCE:

Bachelor's degree required in MIS, Computer Science, Data Analytics, Business Administration, Engineering, Mathematics, Economics, Statistics, or related technical field/coursework

Master's degree preferred in: MIS, CS, Finance, Business Administration, or related field

Minimum 5 years relevant technical experience required, focused on data collection, utilization, and analysis.

Aviation experience preferred

QUALIFICATONS:

Excellent written and verbal communication skills

Comfort presenting technical information to upper management

Experience with Microsoft Office including Excel and PowerPoint

Practical application experience with one or more analytics packages such as SAS, R, SQL, Python (& associated libraries), or similar

Experience with data visualization tools such as Power BI, Tableau, or similar tools

Project management experience preferred

Experience working with relational databases and developing complex data sets

Ability to identify relevant metrics and explain technical information to a broad audience

Desire and ability to learn and leverage new software, tools, and processes in a self-learning environment

Strong analytical skills, research capabilities, and careful attention to detail

Understanding of current analytics and data modeling methods

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.