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Data Analytics Analyst

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Salesforce logo
Salesforce Computer Software / SaaS XLarge http://www.salesforce.com
10001 Employees
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Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

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.

CSG Professional Services Analytics team supports the Professional Services business within the post sales group of Salesforce (CSG). We are seeking a talented Data Analytics Analyst for the Center of Excellence (COE) Analytics team. This individual will contribute to our efforts in transforming complex data into clear and actionable insights and dashboards.  

RESPONSIBILITIES 

* Use Tableau to create interactive and intuitive visualizations Develop a deep understanding of enterprise data and operational details of the business (e.g., key datasets, business drivers/KPIs). Build predictive analytics models to forecast trends and early warning signals in key business areas. 
* Assist in wrangling data sets using Salesforce, SQL, and Tableau to discover patterns, correlate findings and measure the impact on business and key metrics.
* Know how to extract, manipulate and transform data. Basic understanding of data modeling and relational databases. 
* Automate manual reporting processes,  develop data warehouse catalog and improve dataset quality. Partner with data engineering team to create, manage and improve data pipelines. 
* Maintain data accuracy, audits and robust data solutions.

BASIC QUALIFICATIONS: 

* Strong hands-on knowledge of SQL and Tableau.
* Good knowledge of Snowflake, Airflow, ETL, Data pipelines, Tableau Prep builder.
* Knowledge of Salesforce product and platform features, capabilities, and the best use of them including CRMA and Tableau.
* Ability to quickly grasp technological and business concepts.
* Nice to have knowledge of Python programming language.

PREFERRED QUALIFICATIONS: 

* 2-5 years of experience in analytics, reporting, data analysis and aggregation
* Background in professional services or SaaS industry Hands on experience with any of the following tools: Tableau, Relational databases, Salesforce, Programming (ETL frameworks) or any other analytics/data science tool. 
* Knowledge of statistics and experience using statistical packages for analyzing datasets

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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