Data Analytics Analyst – Python, SQL, Tableau, Alteryx
Are you ready to build a career in data analytics at one of the world’s leading financial institutions? JPMorgan Chase is seeking a talented Data Analytics Analyst– Python, SQL, Tableau, Alteryx to join its global analytics team. This role offers the opportunity to transform raw data into meaningful insights, create automated solutions, and deliver dashboards that power strategic decision-making.
Why Choose a Data Analytics Analyst Role at JPMorgan Chase?
JPMorgan Chase is at the forefront of financial services innovation, leveraging data science and analytics to improve customer experiences, enhance risk management, and drive operational efficiency. As a Data Analytics Analyst you will play a key role in harnessing data for business value.
This position provides exposure to advanced analytics tools, cross-functional teams, and large-scale data platforms. You will learn, grow, and contribute to impactful projects that shape the future of banking and technology.
Core Responsibilities
In this role, you will:
- Data Collection & Preparation: Use SQL and Alteryx to gather, clean, and organize datasets from multiple sources.
- Automation & ETL: Build automated workflows, optimize ETL processes, and improve data accuracy.
- Visualization & Reporting: Develop Tableau dashboards that provide clear, actionable insights to business leaders.
- Advanced Analytics: Apply Python for data modeling, statistical analysis, and machine learning experiments.
- Collaboration: Partner with teams across finance, operations, and technology to deliver data-driven solutions.
- Governance & Compliance: Maintain high standards of data security, quality, and regulatory compliance.
- Knowledge Sharing: Document methodologies, support team learning, and mentor junior analysts.
Required Skills
To succeed as a Data Analytics Analyst you should have:
- Strong expertise in Python (pandas, NumPy, scikit-learn).
- Advanced SQL for queries, optimization, and performance tuning.
- Proficiency with Tableau dashboards, calculated fields, and visual storytelling.
- Hands-on experience with Alteryx for workflow automation and data blending.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related fields.
- Problem-solving mindset, attention to detail, and strong communication skills.
Preferred Skills
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of big data tools (Hadoop, Spark, Hive).
- Experience with machine learning and predictive modeling.
- Understanding of data governance frameworks and compliance.
Why This Role Matters
The role is essential to JPMorgan Chase’s mission of becoming a data-first organization. You will:
- Provide real-time dashboards to support strategic decision-making.
- Automate workflows to reduce manual effort and improve efficiency.
- Identify trends, patterns, and risks through advanced analytics.
- Enable leaders to act with confidence, backed by accurate data.
Your contributions will directly influence business outcomes, customer satisfaction, and operational improvements.
Career Growth Opportunities
A career as a Data Analyst opens the door to multiple pathways:
- Senior Data Analyst or Data Scientist roles with advanced modeling responsibilities.
- Data Engineering positions focused on architecture and big data pipelines.
- Analytics Leadership roles, guiding teams and shaping data strategies.
At JPMorgan Chase, career development is a priority. You will receive training, mentorship, and opportunities to participate in high-impact projects.
Work Environment
JPMorgan Chase fosters a collaborative, inclusive, and innovative culture. As a Data Analyst , you will be part of a team that values knowledge sharing, continuous learning, and experimentation. The environment encourages curiosity and rewards creativity, ensuring you have the tools and support to succeed.
Frequently Asked Questions
1. What is the focus keyword for this role?
The focus keyword is Data Analytics Analyst – Python, SQL, Tableau, Alteryx.
2. What tools will I use daily?
You will primarily use Python, SQL, Tableau, and Alteryx. Additional exposure to cloud platforms and big data tools may be part of the role.
3. Do I need financial services experience?
Financial services knowledge is beneficial but not required. Strong technical and analytical skills are the top priority.
4. What career growth is available?
You can move into senior analytics, data science, data engineering, or leadership roles.
Apply here
Conclusion
The Data Analytics Analyst role at JPMorgan Chase is a unique opportunity to combine technical expertise with business impact. If you are passionate about data, eager to learn, and ready to take on challenges that matter, this position is the right fit for you.
Submit your application today and take the next step in your data analytics career with JPMorgan Chase.
👉 Join now and start building your first project today!
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