Happy Company Is Hiring A Data Analyst

Happy is hiring a data analyst & every graduates can apply to be a happy

About Role 

As a Data Analyst, your role is all about using data to make our products better. You’ll work with different teams to understand how our products are doing and figure out how we can make them even more awesome for our users. The role involves making data-driven decisions, influencing product capabilities, and contributing to product-led growth. If you love digging into data, finding trends, and helping teams make smart decisions, this is the role for you!

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Happy Company Is Hiring A Data Analyst

Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.

Qualification 

• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science or Engineering.
• Strong hands-on experience – SQL and Python for data extraction and manipulation from relational/non-relational databases.
• Prior experience in a B2B SaaS experience is desirable but not mandatory.
• Good knowledge of databases such as Redshift, RDS, Mongo, and platforms like AWS, Tableau, Metabase, Google Analytics, Mix Panel, etc.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create insightful reports and dashboards.
• Knowledge of A/B testing and experimental design methodologies.
• Work experience with real data for customer insights, business, and market analysis.
• Excellent problem-solving skills and the ability to translate complex data into actionable insights.
• Strong communication and presentation skills, with the ability to convey technical information to both technical and non-technical stakeholders.
• Ability to work collaboratively in a fast-paced, cross-functional environment.
• Additional Skills (Beneficial): Proficiency in advanced analytics techniques such as machine learning & NLP provides an extra layer of expertise to the role.

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Responsibility 

• Partner closely with product teams to instrument and analyze product adoption and impact. Influence the product roadmap by providing answers to key business questions and enabling objective decision-making.
• Provide data and insights to support earnings calls, influence marketing activities, and inform strategic initiatives.
• Collaborate with different teams to enhance customer engagement, reduce churn, and increase upsell and cross-sell opportunities.
• Build analytics solutions to democratize deep product metrics across the organization. Utilize strong database skills to work with large, complex data sets. Communicate findings to stakeholders and initiate initiatives for improving business performance.
• Derive value from existing analytics frameworks and jump in to build new ones when the business requires them.
• Monitor product adoption KPIs and tie them to adjacent business data models to bring out opportunities for expansion and retention.

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Preferred 

• Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data.
• Identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data.
• Execute analytical experiments to help solve problems across various domains.
• Analyse data for trends and patterns and interpret data with clear objectives.
• Implement analytical models in production by collaborating with software developers and machine-learning engineers.

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Apply Here : Happy Company Is Hiring A Data Analyst