Staffmark Group
Data Analyst
Staffmark Group, Plano, Texas, us, 75086
Staffmark Workforce Solutions offers this exciting contract opportunity at a global leader in electronics, mobile devices and appliances located in Plano, TX.
Data Analyst
Top Skill Sets Required: Data Science and Excel and Python
Position Description: We are seeking a Data Analyst to support the Retail Teams with deep analysis using data science models and tools.
Responsibilities:
Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights. Experience with Machine Learning techniques, such as regression, classification, clustering, and neural networks. Outline business predictions to predict forecasts of demand and promote overall efficiency Data science and optimization models - Customer Segmentation, Product Mix and Promotion Mix analysis, Multi-variate models, Turf Analysis Highly skilled in Excel. Highly skilled in Data Mining using Python. Source, combine, and synthesize large amounts of data from various data sources. Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights. Conduct Industry analysis: Analyze trends, patterns, early warnings, and forecasts. Utilize syndicated and other sources for periodical Retail industry assessment Effective visualization for users to interact with the forecasting model Recommend strategic action plans for retail to drive sales across all product categories. Presentation skills in being able to tell the story behind the numbers.
Requirements:
Bachelor's degree in Business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (Master's Degree preferred) 4+ years of work experience in Retail Performance analytics, Data analytics with data modelling Highly skilled in Excel and Python (Pandas, Scikit-Learn, TensorFlow, Keras) Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators. Machine Learning - good knowledge of machine learning methods like Clustering, k-Nearest Neighbors, Decision Forests, Time series Forecasting Data Wrangling - proficiency in handling imperfections in data Good knowledge of Data Visualization Tools Tableau Analytical mind and great business sense, problem-solving aptitude Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role.
Necessary Skills and Attributes:
Demonstrated ability to interact at all levels within customer's organizations, the ability to plan, organize and prioritize multiple strategic programs and simultaneous performance objectives. The ability to understand the different data sources. To combine the same and run advanced analytics and reporting, to gain actionable insights and opportunity for the Retail teams to address. The ability to write, read, interpret, explain and act based on a thorough understanding of technical documents, engineering materials and contracts or related documents. Ability to make professional sales and business presentations in writing, through email, reports, or orally, including complex business and technical matters to an audience of high technical skills, management and operational experience. Ability to support a cross-functional team to achieve customer contracted objectives and specific team goals within established time frames and requirements.
Staffmark talent working with this client receive competitive compensation and a great benefits package including medical, dental, vision, 401K and Paid Time Off plus more!
Click "Apply Now" to connect with a recruiter!
After you have applied, download our Staffmark Group WorkNOW App to receive real-time job offers and apply for additional opportunities. You can download it from the App Store or get it on Google Play. About Staffmark Staffmark is committed to providing equal employment opportunity for all persons regardless of race, color, religion (including religious dress and grooming practices), sex, sexual orientation, gender, gender identity, gender expression, age, marital status, national origin, ancestry, citizenship status, pregnancy, medical condition, genetic information, mental and physical disability, political affiliation, union membership, status as a parent, military or veteran status or other non-merit based factors. We will provide reasonable accommodations throughout the application, interviewing and employment process. If you require a reasonable accommodation, contact your local branch. Staffmark is an E-Verify employer. This policy is applicable to all phases of the employment relationship, including hiring, transfers, promotions, training, terminations, working conditions, compensation, benefits, and other terms and conditions of employment. All employees are directed to familiarize themselves with this policy and to act in accordance with it. All decisions with respect to employment matters and other phases of employer-temporary employee relationships will be in keeping with this policy and in accordance with all applicable laws and regulations.
Data Analyst
Top Skill Sets Required: Data Science and Excel and Python
Position Description: We are seeking a Data Analyst to support the Retail Teams with deep analysis using data science models and tools.
Responsibilities:
Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights. Experience with Machine Learning techniques, such as regression, classification, clustering, and neural networks. Outline business predictions to predict forecasts of demand and promote overall efficiency Data science and optimization models - Customer Segmentation, Product Mix and Promotion Mix analysis, Multi-variate models, Turf Analysis Highly skilled in Excel. Highly skilled in Data Mining using Python. Source, combine, and synthesize large amounts of data from various data sources. Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights. Conduct Industry analysis: Analyze trends, patterns, early warnings, and forecasts. Utilize syndicated and other sources for periodical Retail industry assessment Effective visualization for users to interact with the forecasting model Recommend strategic action plans for retail to drive sales across all product categories. Presentation skills in being able to tell the story behind the numbers.
Requirements:
Bachelor's degree in Business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (Master's Degree preferred) 4+ years of work experience in Retail Performance analytics, Data analytics with data modelling Highly skilled in Excel and Python (Pandas, Scikit-Learn, TensorFlow, Keras) Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators. Machine Learning - good knowledge of machine learning methods like Clustering, k-Nearest Neighbors, Decision Forests, Time series Forecasting Data Wrangling - proficiency in handling imperfections in data Good knowledge of Data Visualization Tools Tableau Analytical mind and great business sense, problem-solving aptitude Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role.
Necessary Skills and Attributes:
Demonstrated ability to interact at all levels within customer's organizations, the ability to plan, organize and prioritize multiple strategic programs and simultaneous performance objectives. The ability to understand the different data sources. To combine the same and run advanced analytics and reporting, to gain actionable insights and opportunity for the Retail teams to address. The ability to write, read, interpret, explain and act based on a thorough understanding of technical documents, engineering materials and contracts or related documents. Ability to make professional sales and business presentations in writing, through email, reports, or orally, including complex business and technical matters to an audience of high technical skills, management and operational experience. Ability to support a cross-functional team to achieve customer contracted objectives and specific team goals within established time frames and requirements.
Staffmark talent working with this client receive competitive compensation and a great benefits package including medical, dental, vision, 401K and Paid Time Off plus more!
Click "Apply Now" to connect with a recruiter!
After you have applied, download our Staffmark Group WorkNOW App to receive real-time job offers and apply for additional opportunities. You can download it from the App Store or get it on Google Play. About Staffmark Staffmark is committed to providing equal employment opportunity for all persons regardless of race, color, religion (including religious dress and grooming practices), sex, sexual orientation, gender, gender identity, gender expression, age, marital status, national origin, ancestry, citizenship status, pregnancy, medical condition, genetic information, mental and physical disability, political affiliation, union membership, status as a parent, military or veteran status or other non-merit based factors. We will provide reasonable accommodations throughout the application, interviewing and employment process. If you require a reasonable accommodation, contact your local branch. Staffmark is an E-Verify employer. This policy is applicable to all phases of the employment relationship, including hiring, transfers, promotions, training, terminations, working conditions, compensation, benefits, and other terms and conditions of employment. All employees are directed to familiarize themselves with this policy and to act in accordance with it. All decisions with respect to employment matters and other phases of employer-temporary employee relationships will be in keeping with this policy and in accordance with all applicable laws and regulations.