Specialist / Sr. Specialist, Analytics Engineering

You connect the dots -

• in developing sophisticated security use cases, will bridge the gap between security requirements and technical implementation.
• You will connect the dots by aligning Splunk configurations with overarching security objectives, ensuring that our log sources are effectively onboarded and monitored for potential threats.

You are a collaborator -

• Your expertise and insights as an Analytical Engineer will be instrumental in Collaborating with business to understand data requirements & support in building dashboards to enable data driven decision making
• You will work closely with Data Engineers , Data scientist & Business to strive for greater functionality & define business goals and parameters to measure analytics outcome

You are an innovator -

Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

What you'll need (Required)

• Bachelor s degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus
• Minimum 3+ years of experience in a Analytical Engineer role
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of harmonizing, processing and extracting value from large disconnected datasets
• Experience supporting and working with multi-functional teams in a dynamic environment
• Experience with object-oriented / object function scripting languages : Python, Java, etc.
• Experience with cloud services : GCP, AWS, Snowflake Experience with Visualization tools like Tableau, QlikView , Domo
• Experience with Data Flow, Data Pipeline and workflow management tools : Cloud Composer, Airflow, Luigi,dbt etc
• Ability to resolve issues independently.
• Excellent communication and collaboration skills.

What you'll need (Preferred) :

• Experience with relational SQL and NoSQL databases : MongoDB, PostgreSQL, etc
• Experience with big data tools : Hadoop, Spark, Kafka, etc.
• Experience building and optimizing big data data pipelines, architectures and data sets

Skills Required

Data Pipeline, Data Structures, Big Data, Python, Sql, Analytics