Oracle

Principal Sales Operations Analyst - OAC,SQL,ML

Job Description

Principal Business Analyst IC4

 

Our Mission

At Oracle, we are igniting dreams and making visions a reality. We are forgers of the future, relentlessly pushing the boundaries of what is possible. From creating innovative solutions to tackle global challenges like Covid-19 to standing up for those in need, we are changing lives and shaping tomorrow's world.

Our decades of technological expertise and insatiable curiosity drives us to confront and overcome real-world problems. In our Global Customer Success Management division, we are not just partners but co-architects of our customers' success. We guide them on a journey to unlock the transformative power of Oracle technology, empowering them to achieve the extraordinary.

Our success is measured in the triumphs of our customers. Each customer victory propels Oracle forward, pushing us to greater heights. So, if you have the audacity to dream big and the drive to make a difference, Oracle is your launchpad to leave an indelible mark on the universe.

Join us, and together, let's dare to redefine what is possible.

Job Description

The Global CSM Business Operations is a dynamic and forward-thinking organization focused on leveraging data to drive strategic decisions. The Global Data Mining, Reporting & Analytics (DRA) division of CSM Business Operations was established with a mission to elevate customer experience by scaling data & driving innovation. DRA is mainly instrumental in executing the strategy of the Global Customer Success Business. As part of our commitment to data-driven excellence, Data Mining, Reporting & Analytics (DRA) team, is seeking a highly motivated, results-oriented person to support our Analytics wing of Business Operations.

Key Responsibilities:

  • Collaborate closely with Business Operation Partners to enhance the Global Operating Model. This includes refining the Coverage Model, thresholds, and ratios, among other critical factors. Work together to establish the necessary reporting framework to support the upcoming new initiatives.
  • Develop and implement data mining strategies to collect, clean, and analyze large structured and unstructured datasets.
  • Apply various data mining techniques, machine learning algorithms, and statistical methods to identify patterns, correlations, and trends.
  • Prepare & publish regular data analysis, trends, comparisons & other useful findings of CSM performance. 
  • Compile and disseminate periodic insights on CSM performance, encompassing data analysis, identification of trends, comparative assessments, and other valuable observations.
  • Translate business requirements coming from Business Operation Partners and provide timeline for robust solutions.
  • Collaborate closely with teams across different departments and regions to gather data, understand reporting requirements, and ensure alignment with organizational goals. 
  • Collaborate closely with designated DV developers to execute the reporting strategy.
  • Propose & implement data quality standards in alignment with the CLM guidelines and to ensure the integrity and reliability of reporting outputs.
  • Documentation of business reports and maintaining the same. 
  • Proactively evaluate the ongoing significance of reporting metrics by regularly cross-referencing them with the dynamic requirements of the business.

 

Education & Experience:

  • Bachelor’s degree in data science, computer science, Analytics, or a related field. Master’s degree is a plus.
  • Over 12+ years of extensive experience in data analysis, business intelligence, or analytics roles.
  • Proficiency in using various data analysis tools and programming languages is essential. This includes a strong grasp Oracle Analytics cloud, SQL & other visualization tools.
  • Effective communication and collaboration skills are essential for interacting with cross-functional teams & stakeholders.
  • Hands-on experience with Oracle Analytics Cloud or similar platforms.
  • Adept at handling large datasets, performing data cleansing, handling missing data, and structuring data in a format suitable for modeling and interpretation.
  • Strong critical thinking and problem-solving skills are necessary to identify complex business problems and translate them into actionable insights.
  • Strong understanding of data privacy, security, and ethical considerations is important.
  • A keen eye for detail, a relentless curiosity for learning new things, and strong project management skills are highly advantageous and set candidates apart.

 

Career Level - IC4


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