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Pattern Making Jobs in Indianapolis, IN (NOW HIRING)

... patterns. * Synthesize and connect insights across products and user journeys to support enterprise level decision making and prioritization. Documentation, Mentorship & Analytics Enablement - 15%

Perform data analysis to identify trends, patterns, and correlations. * Develop reports, dashboards ... Use statistical techniques and predictive modelling to improve decision-making. * Document ...

Senior Security Architect

Carmel, IN · On-site

$155K - $180K/yr

... making in security workflows. * Delivering clear, executive-ready risk narratives that translate ... Experience in creating secure reference architectures or design patterns. * Demonstrated experience ...

... and data-driven decision-making. You bring deep expertise in Snowflake and cloud-native ... Define and implement architectural patterns for on-premises to cloud migrations, including ...

Solution Architect

Indianapolis, IN · On-site

$55.25 - $72.75/hr

... and patterns that product teams can use to implement solutions. • Contribute to the ... making. • Strong technical background ideally from a hands-on IT engineering background, with ...

Develop data dashboards, charts, and visual aids to support decision-making across departments * Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns ...

Perform data analysis to identify trends, patterns, and correlations. Develop reports, dashboards ... Use statistical techniques and predictive modeling to improve decision-making. Document processes ...

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Pattern Making information

See Indianapolis, IN salary details

$32K

$74K

$120.4K

How much do pattern making jobs pay per year?

As of Aug 30, 2026, the average yearly pay for pattern making in Indianapolis, IN is $73,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $82,200.00 per year, depending on experience, location, and employer.

What is pattern making?

A Pattern Making job involves creating templates or blueprints for garments, accessories, or other textile-based products. Pattern makers translate design sketches into accurate patterns that guide the cutting and sewing process in production. They use specialized software or manual techniques to ensure proper fit, proportions, and construction details. Precision and attention to detail are essential, as patterns dictate the final look and functionality of a product.

What are the key skills and qualifications needed to thrive in pattern making?

To thrive in Pattern Making, a strong understanding of garment construction, dimensional accuracy, and textile properties is essential, often supported by coursework or experience in fashion design or apparel technology. Familiarity with pattern drafting software like Gerber, Optitex, or CAD systems is typically required, and formal certifications can be an advantage. Attention to detail, creative problem-solving, and effective teamwork are important soft skills for success in this role. These skills ensure the creation of functional, well-fitting garments and facilitate smooth collaboration within the production team.

What are some common challenges faced by pattern makers in the apparel industry?

Pattern Makers often encounter challenges such as accommodating unique design specifications while ensuring garments maintain proper fit and functionality. Balancing creative vision with technical limitations, especially when working with new fabrics or manufacturing processes, can require innovative problem-solving. Additionally, managing tight deadlines and frequent iterations with design and production teams demands strong organizational skills. Collaborating closely with designers, sample makers, and production staff is key to overcoming these challenges and achieving high-quality, finished products.

How do I become a pattern maker?

To become a pattern maker, you typically need a high school diploma or equivalent, followed by training in fashion design, pattern making, or a related field through vocational schools, community colleges, or apprenticeships. Skills in sewing, drafting, and using pattern-making software like Gerber or Optitex are essential, along with experience in garment construction and attention to detail.

How much money does a pattern maker make?

Pattern makers typically earn between $35,000 and $70,000 annually, depending on experience, location, and industry. Skilled pattern makers with advanced knowledge of CAD software and sewing techniques may earn higher salaries, especially in fashion or apparel manufacturing environments.

Is pattern making a good career?

Pattern making is a skilled profession in the fashion and apparel industry, involving creating templates for garments. It requires knowledge of sewing, design, and technical skills, often utilizing CAD software. The career can be stable with opportunities for advancement, but job availability depends on industry demand and geographic location.

What career can you have with pattern making?

Pattern making is a key skill in the fashion and apparel industry, enabling careers such as fashion designer, technical designer, sample maker, or pattern maker. Professionals in this field often work in clothing manufacturing, costume design, or product development, utilizing tools like CAD software and sewing techniques. Advanced skills and certifications can lead to roles in design management or pattern technical consulting.

What are popular job titles related to Pattern Making jobs in Indianapolis, IN?

For Pattern Making jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Pattern Making jobs in Indianapolis, IN look for?

The top searched job categories for Pattern Making jobs in Indianapolis, IN are:

Infographic showing various Pattern Making job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $73,961 per year, or $35.6 per hour.

Digital Analytics Lead

Allied Solutions LLC

Carmel, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

188th of 315 rated insurance


Job description

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over the long term. This role defines the standards, frameworks, and governance that ensure user behavior is measured and reported consistently, accurately, and at scale across products and platforms.
This role serves as the organization's subject matter expert in digital and behavioral analytics and is responsible for establishing and maturing this capability in close partnership with Data Engineering, Data Governance, and Business Intelligence teams. Serving as a lead-level individual contributor, the Digital Analytics Lead partners closely with UX, Product, Engineering, and Strategic Leadership to translate behavioral data into actionable insight aligned to inform software product decisions and achieve business outcomes.
Job Duties and Responsibilities:
Define and Govern Data Measurement Strategy - 25%
  • Define and evolve behavioral measurement frameworks aligned to product, UX, and business goals.
  • Establish priorities and maturity roadmaps for behavioral and digital analytics across platforms and initiatives.
  • Define and govern behavioral metrics that reflect software utility, usability, user success, and outcomes.
  • Consult with cross-functional teams to recommend appropriate analytics tools, metrics, and reporting approaches, advising on measurement strategies based on efficiency, implementation effort, data availability, and insight value.
  • Evaluate, pilot, and apply analytics tools and platforms to support measurement goals, usability, data quality, and decision impact.
  • Make hands-on recommendations informed by direct use of analytics tools and data, not abstract evaluation alone.
  • Serve as a trusted advisor to UX, Product, Engineering, and Business leadership on behavioral metrics interpretation and appropriate tool usage.
  • Act as the central steward for disciplined, consistent, and decision focused measurement practices.

Digital Analytics Implementation and Data Quality - 25%
  • Directly design, implement, and maintain event taxonomies, tagging strategies, naming conventions, and implementation standards.
  • Partner hands-on with Engineering to implement analytics instrumentation when application code changes are required.
  • Personally configure, test, validate, and audit analytics platforms (e.g., GA4, GTM, behavioral analytics tools).
  • Identify and remediate tracking gaps, data inconsistencies, and implementation issues.
  • Establish and run processes for ongoing behavioral data quality monitoring and validation.
  • Ensure analytics implementations remain scalable, reliable, and production ready over time.

Enterprise Data Integration & Collaboration - 20%
  • Work hands-on with Data Engineering, Data Governance, and Business Intelligence teams to ensure behavioral data is structured, integrated, and usable across enterprise systems.
  • Define and validate behavioral data requirements for ingestion into enterprise data platforms (e.g., data warehouses and BI tools).
  • Contribute directly to event schemas, data models, and patterns that connect behavioral data across platforms, sessions, and journeys.
  • Ensure behavioral analytics implementations align with enterprise data architecture and downstream analytics needs.
  • Serve as an active cross-functional bridge between UX, Product, Engineering, and Data teams.

Data Analysis, Insight, & Reporting - 15%
  • Hands-on analysis of behavioral data to generate actionable insights that inform product, UX, and business decisions.
  • Design, build, and maintain dashboards and performance views that surface meaningful behavioral patterns.
  • Use query based analysis, automation, and AI assisted techniques to explore data, validate metrics, and accelerate insight generation.
  • Execute behavioral segmentation based on intent, journey stage, and interaction patterns.
  • Synthesize and connect insights across products and user journeys to support enterprise level decision making and prioritization.

Documentation, Mentorship & Analytics Enablement - 15%
  • Establish and maintain analytics standards, governance frameworks, and implementation guardrails.
  • Document metric definitions, instrumentation patterns, dashboard logic, and reporting conventions to ensure clarity and consistency.
  • Develop playbooks, templates, and educational materials informed by real implementation and analysis experience.
  • Provide hands-on peer mentorship, coaching, and collaborative working sessions with UX, Product, Engineering, and Analytics partners.
  • Partner directly with teams to ensure reports, dashboards, and metrics are understandable, usable, and decision ready - not just technically correct.
  • Facilitate shared interpretation and sense-making of analytics outputs through working sessions, reviews, and applied guidance.
  • Enable teams to responsibly engage with analytics while maintaining centralized stewardship, data quality, and analytical rigor.
  • Support analytics maturity through education, feedback, and shared learning - without formal people management responsibility.
  • Balance immediate business needs with long-term data integrity, scalability, and sustainability.

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's degree in Analytics, Data Science, Human Computer Interaction, Psychology, Information Systems, Business, or a related field, or an equivalent combination of education and practical experience.
  • Master's degree preferred.
  • 5+ years relevant experience in behavioral, digital, or product analytics within complex digital or software environments.
  • Significant experience in behavioral or web analytics supporting decision making across products or platforms.
  • Demonstrated experience owning or leading analytics strategy, measurement frameworks, or implementation standards across multiple products or teams.
  • Handson experience with event based analytics and instrumentation, including defining event models, taxonomies, and data quality practices.
  • Working experience using query languages (e.g., SQL or similar) to explore, validate, and analyze behavioral data across analytics platforms and/or enterprise data stores.
  • Proven ability to analyze behavioral data and translate findings into clear, actionable insights that inform product, UX, and business decisions.
  • Strong understanding of data modeling concepts related to digital analytics (e.g., event schemas, sessionization, dimensional thinking).
  • Experience working with or alongside cloud data warehouse environments (e.g., Snowflake) and understanding how behavioral data is structured for analysis.
  • Experience collaborating with Data Engineering and/or Business Intelligence teams to translate behavioral tracking into usable datasets and reporting.
  • Understanding of data privacy, consent management, and responsible handling of behavioral data in regulated or enterprise environments.
  • Strong communication and collaboration skills, with the ability to explain analytical and technical concepts to cross functional partners.
  • Experience partnering closely with UX, Product, Engineering, and Business stakeholders to align measurement with outcomes.

Preferred Qualifications
  • Experience using automation and AI assisted analysis techniques to support exploratory analysis, pattern detection, anomaly identification, or insight generation, with sound judgment around appropriate and responsible use.
  • Experience working within UX, product, or digital experience organizations.
  • Experience with modern behavioral and web analytics platforms (e.g., Google Analytics 4, Google Tag Manager, Microsoft Clarity, or similar event based tools).
  • Experience designing, building, and stewarding dashboards or reporting frameworks, including metric definitions, documentation, and ongoing maintenance.
  • Familiarity with experimentation, optimization, or iterative measurement approaches.
  • Experience designing or supporting experimentation frameworks (e.g., A/B testing, feature validation, behavioral impact measurement).
  • Experience enabling, coaching, or mentoring others in analytics practices without formal people management responsibility.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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