Data Analytics (SQL, Alteryx , AWS)- Associate
Become an integral part of our Data & Analytics team! Each day will be unique – bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.
Job Summary:
As a Data Analytics Associate within our technical team, you will interact with stakeholders to understand business needs, work closely with product and technical teams to produce efficient solutions, and develop Tableau dashboards. You will also be responsible for writing SQL codes, developing Alteryx workflows, and writing basic Python codes. Your role will also involve working extensively on data validations and ensuring codes are designed efficiently to maximize performance and consistency of the reporting environment.
Job Responsibilities:
- Interact with the stakeholders to understand business needs and work closely with product and technical teams to produce efficient solutions.
- Writing SQL Codes, developing Alteryx workflows, writing basic Python codes and developing Tableau dashboards if required.
- Acquire product knowledge and cloud knowledge (AWS and Snowflake)
- Work extensively on data validations. Will be investigating issues, reaching out to multiple teams to get the issues resolved.
- Ensure codes are designed efficiently to maximize performance and consistency of reporting environment.
- Ensure the reporting elements are organized, clearly labeled, and assigned meaningful descriptions.
- Pro-actively identify key growth areas and opportunities and communicate recommendations to the leadership team and various teams across the firm to influence and fine-tune our strategies.
- Collaborate with cross-functional strategy teams within consumer Bank to design and deliver customized analyses and synthesize the data into actionable insights to be delivered to the business.
- Providing regular updates to the team, key stakeholders and senior leaders.
Required Qualifications, Skills, and Capabilities:
- Bachelor’s / Master`s Degree in quantitative discipline such as business, finance, economics, engineering, statistics, information system, or mathematics with minimum of 4 years of experience in Data Transformation and Visualization.
- Hands-on experience with standard data analytics tools and technologies (SQL, Tableau, Alteryx, Excel Python & Snowflake). Knowledge on AWS.
- Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus. Self-motivated, goal-oriented, and able to manage and deliver in an innovation-operated and fast-paced environment.
- Should have a very good understanding of IT processes and databases. Should be able to work directly with Stakeholders/Partners and contribute to building controls reporting suite.
- Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives.
- Communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
- Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus.
- Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts. Experience delivering analytics solutions under strict timelines quick turn-around.
Preferred Qualifications, Skills and Capabilities:
- Previously worked in an insights function at a financial services firm or consulting firm supporting financial firms.
- Strong SQL skills, Excel and Alteryx skills with knowledge on AWS and Snowflake
- Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.
- Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives.
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