Job summary
Job post source
This job is directly from griddable.io
Job overview
The Associate Data Analytics - Business Intelligence role at griddable.io involves delivering insights and supporting product and business growth through data analysis and visualization, impacting decision-making across the company.
Responsibilities and impact
The role requires designing and maintaining dashboards and reports, partnering with analysts and stakeholders to understand business needs, developing BI solutions, documenting best practices, identifying data gaps, and translating data into actionable insights.
Compensation and benefits
The job offers various benefits including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more, as detailed on the company's benefits site.
Experience and skills
Candidates must have less than 1 year post-Master's experience, 1-2 years with Tableau or similar tools, 2 years with big data technologies like Hadoop and Spark, expert knowledge of Oracle SQL and NoSQL, strong analytical and communication skills, and a passion for user experience.
Work environment and culture
The company values creativity, user experience, and effective communication, supporting a fast-paced and unstructured work environment with a high degree of self-management.
Company information
griddable.io is part of a large Data and Analytics team focused on empowering decision-makers with trusted data and actionable insights, collaborating across multiple business units and roles.
Team overview
The candidate will work within a large, diverse global team of over 400 experts including data scientists, engineers, and analysts, collaborating closely with senior BI engineers and cross-functional teams.
Unique job features
The role uniquely combines data analysis with storytelling through data visualization, working with advanced BI tools like Tableau Cloud and Salesforce Einstein Analytics, and involves close collaboration with multiple functional groups.
Company overview
Griddable.io is a technology company specializing in data synchronization and integration solutions for enterprises, focusing on enabling secure, real-time data movement across hybrid and multi-cloud environments. The company’s core product offers a platform that helps businesses manage, replicate, and transform data between on-premises databases and cloud services, supporting digital transformation initiatives. Griddable.io generates revenue primarily through subscription-based licensing of its software to large organizations seeking to modernize their data infrastructure. Founded by experienced technologists and backed by notable investors, the company was acquired by Oracle in 2019, expanding Oracle’s cloud data management capabilities. Candidates should be aware of Griddable.io’s emphasis on innovation in data connectivity and its integration into Oracle’s broader product ecosystem.
How to land this job
Position your resume to highlight your expertise in Tableau and other data visualization tools, emphasizing your ability to create impactful dashboards and reports that drive business insights at griddable.io.
Focus on showcasing your proficiency with Big Data technologies like Hadoop, Spark, and your advanced skills in Oracle SQL and NoSQL databases, aligning with the technical demands of the Associate Data Analytics role.
Apply through multiple channels including griddable.io’s corporate careers page, LinkedIn job postings, and other relevant job boards to maximize your chances of being noticed by recruiters.
Connect with current employees in the Data and Analytics division at griddable.io on LinkedIn; use ice breakers such as commenting on recent data projects they shared or asking about their experience working with Salesforce Einstein Analytics.
Optimize your resume for ATS by incorporating keywords from the job description like 'data visualization,' 'Tableau Cloud,' 'Big Data technologies,' 'SQL,' and 'business intelligence,' ensuring your resume passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, discover multiple application portals, and identify LinkedIn contacts for networking, allowing you to focus your time on preparing for interviews and refining your skills.
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