The Cavco Family of Companies
Data Science Analyst
The Cavco Family of Companies, Plano, Texas, us, 75086
Job Description
We are seeking a skilled
Data Analytics Analyst
with a minimum of 4 years in data analysis or statistical modeling. The ideal candidate will have strong experience with analytics tools such as Excel, SQL, and Python, as well as proficiency in data visualization tools. This role involves applying data analysis techniques to financial services, developing and maintaining data analytics routines, and identifying patterns, trends, and anomalies to evaluate risks and controls. The successful candidate will also build strong relationships with key data owners to enhance the effectiveness and efficiency of audit processes through automation and advanced analytics.
Minimum 4+ years of data analysis and/or statistical modeling analysis experience Strong experience with analytics tools including but not limited to Excel, SQL, Python, etc. Strong experience with data visualization tools Proficient understanding and application of data analysis used in financial services Demonstrated quantitative, analytical, problem-solving skills, and proficiency in data analytics and automation techniques Identify, design, implement, and maintain the data analytics routines needed to support operations and reporting Proactively establish connections with key data owners and help build and understand data to support the analytics being performed Develop and maintain a successful system of data analytics which will provide an enhanced understanding of risks and controls and establish an efficient/automated means to analyze and increase testing volumes of data for outliers, anomalies, patterns, and trends to evaluate the design and effectiveness of controls MINIMUM QUALIFICATIONS
BA/BS degree required Minimum of 4 years of experience Must be proficient in Excel Advanced experience in data mining and statistical analysis Proficiency in Python Familiarity with statistical analysis methodologies, including regression analysis Ability to extract, manipulate, and validate quality data from multiple sources Strong analytical skills with capability to present findings in a non-technical manner
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Local candidates only - relocation not available.
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
Cavco Industries and CountryPlace Mortgage are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment.
We are seeking a skilled
Data Analytics Analyst
with a minimum of 4 years in data analysis or statistical modeling. The ideal candidate will have strong experience with analytics tools such as Excel, SQL, and Python, as well as proficiency in data visualization tools. This role involves applying data analysis techniques to financial services, developing and maintaining data analytics routines, and identifying patterns, trends, and anomalies to evaluate risks and controls. The successful candidate will also build strong relationships with key data owners to enhance the effectiveness and efficiency of audit processes through automation and advanced analytics.
Minimum 4+ years of data analysis and/or statistical modeling analysis experience Strong experience with analytics tools including but not limited to Excel, SQL, Python, etc. Strong experience with data visualization tools Proficient understanding and application of data analysis used in financial services Demonstrated quantitative, analytical, problem-solving skills, and proficiency in data analytics and automation techniques Identify, design, implement, and maintain the data analytics routines needed to support operations and reporting Proactively establish connections with key data owners and help build and understand data to support the analytics being performed Develop and maintain a successful system of data analytics which will provide an enhanced understanding of risks and controls and establish an efficient/automated means to analyze and increase testing volumes of data for outliers, anomalies, patterns, and trends to evaluate the design and effectiveness of controls MINIMUM QUALIFICATIONS
BA/BS degree required Minimum of 4 years of experience Must be proficient in Excel Advanced experience in data mining and statistical analysis Proficiency in Python Familiarity with statistical analysis methodologies, including regression analysis Ability to extract, manipulate, and validate quality data from multiple sources Strong analytical skills with capability to present findings in a non-technical manner
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Local candidates only - relocation not available.
Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
Cavco Industries and CountryPlace Mortgage are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment.