Business Analyst

Job Description

Data AnalystWhat Youll DoYou will be working with the Data Science Manager to identify areas of opportunity for marketing to have an impact. You will be responsible for improving business intelligence capabilities, including design, development, and testing of core algorithms passionate about data engineering and data mining requirements that will drive decisions across the company.Responsibilities Include:l Conduct sophisticated quantitative analysis and statistical machine learning modeling, extract insights from datal Define new data collection and analysis strategies, identify and interpret patterns and trends in data sets, work with large, sophisticated data to analyze and interpret trends or patternsl Perform ad-hoc data analysis to answer specific business questions and audit data qualityl Use Decision Science approach to bring Analytics to useful Insightl Demonstrate Statistical techniques and Advanced Analytical tools were vital for solving complex problems.l Coordinate and present data extracted from disparate tools, applications, and systemsl Generate, update, and maintain reports and data based on business contextl Improve business engagement and operational efficiency.l See opportunities for innovation and automation of internal processesl Collaborate with other data insights groups, IT and business intelligence unitsMinimum Qualification:l 10 years work experience in IT industry and 8 years of meaningful work experience in machine learning, data analysis or related field. (e.g. data engineering, statistician/data scientist, data analyst).l Bachelor s degreel Advanced SQL skills. Experience with Snowflake warehousing platform.l Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling. Experience with Reinforcement Learning (MDP, Policy Optimization algorithm, Dynamic Programming algorithm) is a plus.l Advanced ETL skills (e.g. Kettle, MS SSIS, Alteryx, Knime, etc.)l Advanced data visualization skills (e.g. Tableau, MS SSRS, PowerBI, Domo etc.)l Experience with programming languages skills (e.g. JavaScript, MS Dot Net, Python, R etc.)l Experience with marketing and sales systems (e.g. SFDC, Eloqua, Adobe Analytic etc.)l Ability to work independently, take ownership for own work, prioritize work optimally, and delivers work in a timely mannerl Experience in analyzing and capturing insights from marketing programs and campaigns, or analyzing and capturing insights from sales programs and objectivesl Demonstrated ability to identify, analyze, and interpret trends and patterns in complex data sets, involving diverse data sets and the provision of reporting, and transform data analytics into business insights.l Accuracy and attention to detail, high intellectual curiosity and ability to learn new concepts Proactive, comfortable with autonomy and results orientedWho You Will Work WithAs part of the Data and Reporting Team within the Growth Marketing Practical Insights and Analytics organization, you will work with and alongside all global insights and analytics team peers and partners including strategic insight, advanced analytics, marketing optimization and activation.Why Cisco At Cisco, each person brings their different talents to work as a team and make a difference.Yes, our technology changes the way the world works, lives, plays and learns, but our edge comes from our people. We connect everything - people, process, data and things - and we use those connections to change our world for the better.We innovate everywhere - From launching a new era of networking that adapts, learns and protects, to building Cisco Services that accelerate businesses and business results. Our technology powers entertainment, retail, healthcare, education and more - from Smart-cities to your everyday devices.We benefit everyone - We do all of this while striving for a culture that empowers every person to be the difference, at work and in our communities.We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.,

Keyskills :
customer relationsdocumentationrequirementsfunctionalbusiness requirementsdata miningdata sciencedata analysisdeep learningdata analyticsdata collectionmachine learningdata engineering