Data science has taken the business world by storm by redefining the functioning of every major industry. Right now when the creation of data is at the highest because of digitization, data science tools and advancements are increasing the productivity of companies by showing them the right direction and helping them make smart business decisions.

Be it Fortune 500 companies like Google, Amazon, Microsoft, Apple, or small and medium-sized businesses, everyone organization will benefit from quick problem-solving methods, and data science and data analytics provides just that. With the ability to analyze and extract insights from huge pools of data, a variety of business problems can be solved swiftly. This is the reason companies are aggressively hiring data scientists and analysts.

In the post-pandemic world that we're preparing for, data science professionals have the best job scope. If you're a data scientist looking for a change or a fresher looking for a role, this will interest you — WhatsApp is hiring for data roles. Here's all the information you need.

Data & Analytics Related Jobs At WhatsApp

1. Role: Business Analyst, WhatsApp Customer Operations

Location: California

Responsibilities:

• Use internal and external data (e.g. tickets, user growth, vendor capacity, trends) to derive insights that will drive strategic business decisions
• Build prototypes of analytical tools to help scale the procurement of insights
• Drive operational excellence that supports cross-functional partners and ensure the smooth running of weekly, monthly, and quarterly business rhythms
• Develop compelling analyses to execute data-informed initiatives that help improve our support channels, productivity, and quality at scale
• Focus on process and continuous improvement of core metrics through automation and process enhancement
• Act as a thought leader for data-informed initiatives and guide the team's direction overall
• Conduct in-depth investigations leveraging large and complex data sets
• Partner with Data Science, Data Engineering, Product and Customer Operations teams to solve problems at scale
• Inform, influence, and execute new strategies and tactics using analysis and impact metrics to support your positions
• Build/maintain reports, dashboards, and metrics that equips the CO organization to scale successfully

Minimum Qualification:

• BA/BS in an analytical field (e.g. Computer Science, Engineering, Mathematics, Business, or a related field)
• 5+ years of work experience in Business Analytics, Sales Analytics, Sales Finance, Sales Operations, and/or Strategy consulting, or 3+ years experience with MBA/Master's degree
• Demonstrated problem-solving experience with experience providing actionable business insights and recommendations data and fact-based
• Demonstrated experience in storytelling with data
• Experience working collaboratively with cross-functional stakeholders and partners
• 5+ years of SQL experience (creating and updating queries)
• 5+ years experience of initiating and driving projects to completion
• Experience with data visualization tools such as Tableau or packages in R/Python
• Experience with reporting systems and data pipeline architecture
• Communication experience in articulating issues to both technical and non-technical audiences

Preferred Qualification

• Graduate degree in an analytical field
• Experience with Customer Operations or Scaled Services
• Experience with Payments Operations or Financial Services
• Experience extracting data from large/complex databases

2. Role: WhatsApp Reporting and Analytics Manager, Customer Operations

Location: California

Responsibilities:

• Build and manage a team that provides scalable reporting and analytics solutions for Customer Operations
• Responsible for operational cadences like holistic monitoring of day-to-day operational performance and ownership of data architecture
• Enable operations teams to rapidly identify key business drivers and trends
• Build early warning systems to aid in the detection of problems
• Establish team goals and work with direct reports to execute, measure progress, and share results
• Facilitate data-driven and informed decision making and prioritization across operations
• Leverage areas of expertise to improve the effectiveness and quality of WhatsApp's support experience
• Develop strong cross-functional partnerships across WhatsApp to drive our team's success
• Identify gaps and develop solutions to optimize team workflows and goals to improve efficiency with a focus on the impact
• Provide mentorship, guidance, and career development to a team of Business Analysts

Minimum Qualification

• BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields
• 5+ years of people management experience
• 5+ years of hands-on experience using SQL or another querying language
• Experience analyzing and deriving meaning from unstructured data sets
• Experience with visualization software (Tableau, Pentaho, etc.)
• 5+ years of experience in solving analytical problems using quantitative approaches or equivalent
• Experience presenting research data (qualitative and quantitative) to both technical and business partners
• Understanding of scaled operations and how to leverage data/insights to improve ops performance

Preferred Qualification

• Strong analytical background with experience leveraging consumer and market insights to influence operations at scale and improve user experience
• Experience utilizing both qualitative analyses (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., cluster analysis, descriptive and inferential statistics)
• Demonstrated success presenting complex research data (qualitative and quantitative) in a clear and compelling manner that inspires action
• Experience working with cross-cultural global teams
• Knowledge for user advocacy, intellectual curiosity, and will to constantly challenge the status quo
• Knowledge for and commitment to team development

3. Role: Data Scientist, Product

Location: California

Responsibilities:

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support and execute our product decisions and product launches.
• The Data Scientist Analytics role has worked across the following four areas:
• Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics.
• Exploratory Analysis: Proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metrics and building models of user behaviors for analysis or to power production systems.
• Product Leadership: Influencing product teams through presentation of data-based recommendations, communicating the state of business, experiment results, etc. to product teams, and spreading best practices to analytics and product teams.
• Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python-based ETL framework.

Minimum Qualification:

• BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical fields.
• 2+ years experience doing quantitative analysis within a large-scale company or fast-paced environment.
• Experience in SQL or other programming languages.
• Development experience in any scripting language (PHP, Python, Perl, etc.).
• Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.
• Knowledge of statistics (e.g. hypothesis testing, regressions).
• Experience manipulating data sets through statistical software (e.g. R, SAS) or other methods.

Preferred Qualification

• Masters or other advanced degrees.
• Experience with distributed computing (Hive/Hadoop).
• Experience working within the tech sector.

All the above information is collected from WhatsApp's official website. For more information about the roles, the company and to apply, head to their official website and apply on the careers page. To help you with the selection process, here are some of the most asked questions in data science interviews and the latest skills employers are looking for. Good luck!