Urgent! Data Analytics Engineer II Job Opening In Austin – Now Hiring IBM
**Introduction**
A career in IBM Software means you'll be part of a team that transforms our customer's challenges into industry-leading solutions.
We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world's leading AI-powered, cloud-native software solutions.
Our renowned legacy creates endless global opportunities for our network of IBMers.
We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes.
This position involves contributing to HashiCorp's offerings, now part of IBM, which empower organizations to automate and secure multi-cloud and hybrid environments.
You will join a team managing the lifecycle of infrastructure and security, enhancing IBM's cloud solutions to ensure enterprises achieve efficiency, security, and scalability in their cloud journey.
**Your role and responsibilities**
This is an individual contributor role responsible for hands-on development with both functional and technical responsibilities
Marketing Analytics team is focused on translating key business data into consumable data models and tools that accelerate time-to-insight for the Hashicorp Marketing organization and Leadership teams
As a Data Analytics Manager, you will work closely with the subject-matter experts from Product Marketing, Product PM’s, Revenue Marketing, Sales, Finance and IT teams to develop data models that power common marketing use cases, powering ad hoc analyses, reports/dashboards.
You will make it easier for key business stakeholders at HashiCorp to be able to self-serve answers to their questions leveraging the wealth of information around customer and product telemetry
Responsibilities:
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Own the creation and maintenance of well-structured and robust data models, dashboards and reports that enable business stakeholders to drive data-informed decisions
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Build and maintain reverse ETL workflows to business systems such as Marketo to support marketing campaigns
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Collaborate with cross-functional teams to define and track key business metrics tied to adoption, pipeline, revenue, product telemetry and customer success
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Identify and drive opportunities to make data more consumable and decrease time-to-insight for analytics consumers
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Develop documentation, training and enablement content to ramp users on models and dashboards for self-serve analysis
This job can be performed from anywhere in the US
**Required technical and professional expertise**
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5+ years of experience in analytics, analytics engineering, business intelligence, data engineering or a related field
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Demonstrates the ability to write clean, performant and scalable SQL
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Hands-on experience with data modeling tools like DBT or similar frameworks, modern datawarehouse systems like Snowflake or Redshift for structuring and transforming data into high-quality usable models
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Experience building intuitive and impactful dashboards in one or more BI tools (e.g., Tableau, Sigma, Looker)
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Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results
**Preferred technical and professional experience**
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Strong business acumen with 2+ years of experience developing analytics for go-to-market functions (Sales, Marketing etc.)
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Knowledge of visualization best practices
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Solid grasp of data modeling and semantic layers
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.
IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Unlock Your Data Analytics Potential: Insight & Career Growth Guide
Real-time Data Analytics Jobs Trends in Austin, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Analytics in Austin, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 50831 jobs in United States and 919 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in Data Analytics roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! IBM is currently hiring and seeking a Data Analytics Engineer II to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Analytics Engineer II Jobs Austin.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at IBM adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Analytics Engineer II Jobs United States varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Analytics Engineer II typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Analytics Engineer II interview at IBM, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the IBM's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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