Data Analyst-Streaming Analytics

Designation: Data Analyst-Streaming Analytics

Job Location: Remote

Qualifications: BE/ BTech/ ME/ MTech/ MSc Statistics

Years of Experience: 3 to 8 years

About Straive:

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics.

Straive continues to be the leading content services provider to research and education publishers.

Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Website: https://www.straive.com/ Linkedin

About the role:

We are seeking a highly motivated and skilled Streaming Data Analyst to join our dynamic team and play a pivotal role in generating immediate, data-driven insights that fuel critical business decisions and optimize performance. Leverage your expert SQL skills, robust analytical capabilities, and exceptional communication to transform business needs into practical data analyses and effectively present your findings to stakeholders. This is an exciting opportunity to innovate with leading-edge streaming technologies and directly influence our business success.

Roles and Responsibilities:

• Business Question Translation: Collaborate closely with stakeholders to understand their core business questions and translate them into clear and concise data analysis plans.
• Project Planning: Create detailed, step-by-step project plans for streaming data analysis initiatives, ensuring timely and accurate delivery of insights.
• Real-time Data Analysis: Design, develop, and execute efficient SQL queries against streaming data platforms to extract, manipulate, and aggregate data in real-time.
• Customer-Centric Analysis: Apply customer analytics and/or marketing analytics techniques to streaming data to identify trends, segment customers, and drive business performance.
• Statistical Modeling (Python): Apply hands-on experience in building statistical models in Python to analyze streaming data and uncover predictive insights.
• Problem Solving: Proactively identify and resolve challenges related to streaming data, processing, and analysis with quick and clever solutions.
• Deliverable Design: Define the output deliverable, including the format and key metrics, and design the necessary data structure to effectively answer business questions.
• Insight Presentation: Develop and deliver compelling presentations to stakeholders, clearly articulating key findings and actionable recommendations.
• Data Storytelling: Craft clear and impactful presentation decks using appropriate data visualizations (e.g., Tableau, Excel) and formatting to highlight critical takeaways from streaming data.
• End-to-End Analysis Execution: Own the complete data analysis lifecycle for streaming data, from gathering stakeholder needs and writing SQL queries to summarizing real-time data, creating presentations, and presenting findings.

Required Skill Sets:

• Expert in SQL, Python
• Expert in deriving actionable and impactful business insights
• Experience in AWS, Redshift
• Must have prior experience in streaming analytics
• Good to have customer analytics/marketing analytics experience.

Preferred Qualifications:

• Degree in Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
• 4+ years as a data analyst and 2+ years as streaming data analyst

“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.