# Nikitha akula

Nikitha akula is a remote worker on Himalayas, Data Analyst at American Express, based in United States.

Source: https://himalayas.app/@nikithaakula

```text
Data Analyst at American Express turning operational data into Power BI dashboards for KPI and exception monitoring.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | United States |
| Authorized to work in | United States |
| Job categories | Data Analyst |
| Skills | SQL, Advanced SQL, Python, Power BI, Data Analysis, KPI Reporting, Operational Analytics, Financial Reporting, Data Validation, Data Reconciliation, ETL, Root Cause Analysis, Data Quality Assurance, Data Lineage, Trend Analysis |

## About

```text
At American Express, I analyze operational WIP, project, utilization, and performance data to surface aging items, exceptions, and trends that need follow-up. I build Power BI dashboards for operational KPIs, project status, utilization, and financial metrics.

I develop SQL reporting datasets, views, and stored procedures, and use SQL, Python, and Excel to analyze data and automate recurring preparation. I also validate source-to-target data and reconcile ETL outputs to support accurate reporting.

At Ally Financial, I developed Power BI dashboards for financial reporting and operational performance, and wrote complex SQL queries to investigate data and reporting issues. I traced inconsistencies to upstream sources and transformation processes, then supported root-cause analysis and corrective follow-up.

At EPAM Systems, I developed SQL-based operational and financial reporting solutions and built Power BI and Tableau dashboards for KPI tracking and progress reporting. Across these roles, I’ve worked on data quality, trend analysis, and reporting workflows that help teams monitor performance and investigate exceptions.
```

## Experience

### Data Analyst (current)

[American Express](https://himalayas.app/companies/american-express-company). Nov 2024 - Present

```text
Analyze operational WIP, project, utilization, and performance data to identify aging items, stalled activities, data exceptions, trends, and areas requiring follow-up or escalation. Developed and maintained SQL-based reporting datasets, views, and stored procedures for operational monitoring, KPI reporting, data investigation, and business performance analysis.
```

Skills: SQL, Python, Power-BI, Excel, ETL, Data-Validation, Data-Reconciliation, Root-Cause-Analysis, WIP-Reporting, KPI-Reporting, Trend-Analysis, Anomaly-Detection, Jira, Agile, LLM

### Data Analyst

[Ally Financial](https://himalayas.app/companies/ally-financial). Jan 2024 - Oct 2024

```text
Developed and maintained Power BI dashboards supporting financial reporting, operational performance analysis, WIP-style progress monitoring, KPI tracking, and management reporting. Wrote complex SQL queries using joins, CTEs, and window functions to investigate large-scale datasets, exceptions, performance trends, and reporting issues.
```

Skills: Power-BI, SQL, Python, Data-Validation, Data-Reconciliation, Root-Cause-Analysis, KPI-Reporting, Trend-Analysis, AWS, Azure-Databricks, Excel, SIT-UAT, Defect-Tracking

### Data Analyst

[EPAM Systems](https://himalayas.app/companies/epam-systems). May 2019 - Dec 2022

```text
Developed SQL-based operational and financial reporting solutions supporting KPI monitoring, performance tracking, trend analysis, and management reporting. Analyzed large datasets to identify operational trends, exceptions, data-quality issues, performance patterns, and reporting opportunities.
```

Skills: SQL, Power-BI, Tableau, KPI-Reporting, Trend-Analysis, Root-Cause-Analysis, Data-Quality, WIP-Reporting

## Education

### Lindsey Wilson University

Master's, Information Technology Management. 2025 - Present

```text
Pursuing a Master's in Information Technology Management, expected to complete in the coming years.
```

### Osmania University

Bachelor's, Computer Science

```text
Bachelor's in Computer Science from Osmania University, completed in 2019.
```

## Tech stack

- Snowflake
- Tableau
- GitHub
- NumPy
- Pandas
- Oracle
- Jira
- Python
- SQL
- ServiceNow
- Power BI
- Microsoft PowerPoint
- AWS

To contact Nikitha, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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