Sr. Analyst, Customer Success BI

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Job Category

Operations

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

The CSG BI organization is responsible for insights and recommendations to optimize the user experiences of IT applications. This includes analyses focused on application speed, stability, adoption, and user behaviors. Such work includes data ingestion, data munging, statistical analysis, data modelling, model evaluation, and model deployment. Effective outputs require a simple user-friendly synthesis of information, including actionable insights, analytical solutions, and AI-powered products.

The team needs individuals with extensive business and analytical knowledge to deliver high value, actionable insights and recommendations. We are looking for a candidate who has a solid background in analytics, demonstrates proven abilities to be innovative and creative, and is an effective collaborator and communicator enabling influence.

The candidate will have excellent analytics capabilities, expertise in analytical problem-solving techniques, project management skills, and product mindset. He/she will have the experience of working on solving complex analytical problems and should be comfortable with analytical tools. The person will be responsible for operating within a dynamic, fast-paced, scalable & agile IT development environment, which faces both internal and external customers.

Job Responsibilities:

• Delivers analytical insights to provide actionable recommendations to influence Digital self service product development and to optimize user experience by considering speed, stability, and key user behaviors;

• Develops and delivers on analytics roadmap for Customer success, while always identifying new opportunities and prioritization recommendations;

• Works with data engineers, data scientists, architects, application product owners, software developers, UX designers, and business partners to design strategic projects and break complex problems into smaller actionable tasks;

• Leads cross-functional engagements to define problem statements, establish KPIs, collect data, process data, build analytical models and make recommendations;

• Builds Artificial Intelligence/Machine Learning prototypes;

• Develops self-service analytics solutions to automate analytics;

• Presents findings to key stakeholders;

• Collects feedback and improves deployed products;

• Establishes relationship with key stakeholders or Point of Contacts to accelerate issue fixes;

• Leverages teamwork or cross-functional collaboration to influence the optimization of Online Support;

• Contribute to improving business processes and reducing overall issues for Online Support.
   

Qualifications:

• Role Requirements:

  • Excellent written and verbal communication skills, including the ability to convey analytic insights effectively to both IT and business leaders;

  • Data Analytics, Data Science, Computer Science, Engineering, or Business Degree, or equivalent professional experience;

  • 6+ years of relevant work experience or 4+ years of work experience with a master degree; 

  • 4+ years of experience with data analytics, business analytics, or data science;

  • Hands-on analytics capabilities, expertise in analytical problem-solving techniques and frameworks, and the ability to deal with large volumes of data;

  • Experience with Python, SQL, Snowflake;

  • Experience with data visualization tools, such as Tableau, Power BI or Looker;

  • Knowledge of machine learning algorithms/concepts;

  • Proficiency in statistics and research methods;

  • Self-motivated w